Program for 2015 International Conference on Connected Vehicles and Expo (ICCVE)

Time K1 Room K2 Room K3 Room WebEx Session

Thursday, October 22

10:30-12:30 TS1-01: Wireless Communications and Vehicular Networking TS2-01: Mobile Internet, Internet of Vehicles, and Internet of Things TS6-01: Practices, Standards, Policy, Economics, and Social Implications    
13:30-15:30 TS1-02: Wireless Communications and Vehicular Networking TS3-01: Cooperative Driving, Autonomous Driving, and Intelligent Vehicles TS1-06: Wireless Communications and Vehicular Networking    
15:50-17:50 TS1-03: Wireless Communications and Vehicular Networking TS3-02: Cooperative Driving, Autonomous Driving, and Intelligent Vehicles TS5-02: Emerging Technologies and Applications for Next-Generation Transportation    

Friday, October 23

10:30-12:30 TS1-04: Wireless Communications and Vehicular Networking TS3-03: Cooperative Driving, Autonomous Driving, and Intelligent Vehicles      
13:30-15:30 TS1-05: Wireless Communications and Vehicular Networking TS4-01: Intelligent Transportation, Electrified Transportation, and Smart Cities     SS0: Special Session 0 (for papers presented at summits or forums)
15:50-17:50 TS5-01: Emerging Technologies and Applications for Next-Generation Transportation TS4-02: Intelligent Transportation, Electrified Transportation, and Smart Cities     SS1: Special Session 1 (for papers presented remotely)
21:00-23:59       TS9-01: Remote Presentations  

Thursday, October 22

Thursday, October 22, 10:30 - 12:30

TS1-01: Wireless Communications and Vehicular Networking

Room: K1 Room
10:30 RGI: Bit-rate Modeling of a Novel Real-time Picture-Importance Scheme for Robust Video over the LTE Downlink
Wen-Ping Lai (Yuan-Ze University, Taiwan); En-Cheng Liou and Yi-Hsuan Chiu (Yuan Ze University, Taiwan)
This paper presents a study on modeling a real-time picture-importance scheme, which is a dilemma problem between high accuracy and real-time applicability. A novel scheme called real-time group-of-pictures-averaged index (RGI) is proposed with two objectives: (1) providing a higher accuracy than the conventional real-time schemes such as I/P and EPL, and (2) still meeting the desired real-time constraint. The higher accuracy is achieved based on a numerical modeling of the effect of target streaming bit-rate change on the priority ordering of member pictures in the same group-of-pictures (GOP), and the fitted results to this effect can thus provide an empirical law for a real-time interpolated prediction of picture importance in a video stream of any target bit-rate. Our results show that the superiority of RGI over the I/P and EPL schemes through a simulation validation of real-time video delivery over the LTE downlink, and the performance gains of video quality are substantial under different congestion levels for various bit-rates and moving speeds of user equipments.
Presenter bio: Wen-Ping Lai is an Assistant Professor of Communications Engineering at Yuan Ze University, Taiwan. His research interests are in the areas of software defined networking (SDN), multimedia communication, signal processing and embedded software design. He was the recipient of numerous information-technology-based research grants from Taiwan's Ministry of Science and Technology, and was awarded the Excellent Project Investigator prize for open-source software. His system design of SDN-based video load balancing won the second place of 2014 National Grand Contest of Communications for SDN Innovation, held by Taiwan's Ministry of Economy. He has co-authored one book and published over 40 research papers in international conferences and journals. He has been an active reviewer for several international conferences and journals as well as a program committee member for some of these conferences for several years. He is a member of IEEE.
Wen-Ping Lai
10:50 Exploring Mobility Metrics Quantitatively For Vehicular Networks Based on Three-Phase Traffic Theory
Shi Yan and Changkai Lu (Beijing University of Posts and Telecommunications, P.R. China); Shanzhi Chen (China Academy of Telecommunication Technology & Datang Telecom Technology & Industry Group, P.R. China); Liqiang Qiao (Beijing University of Posts and Telecommunications, P.R. China)
Understanding mobility behaviors in vehicular networks is of great importance for designing optimal networking and communication solutions. While existing researches lack of comprehensive mobility metrics definition and realistic traffic scenarios, this paper presents novel metrics for individual node, node pairs, groups and networks from both mobility and connectivity viewpoints. Three-phase traffic flows are generated as simulation scenario conforming to real world. Quantitative analysis on those metrics is conducted to provide meaningful guidance for vehicular networking and communication technologies.
Presenter bio: Liqiang Qiao is a Ph.D. candidate from State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, P. R. China. He received his M.E. degree in Computer Science from Northeastern University in 2012. His current research interests include vehicular networks, modeling and performance analysis.
Liqiang Qiao
11:10 Implementing On-Board Diagnostic and GPS on VANET to Safe the Vehicle
Lin Pu (Beijing Jiaotong University, P.R. China); Zhenyu Liu, Zhen Meng, Xinyang Yang, Konglin Zhu and Lin Zhang (Beijing University of Posts and Telecommunications, P.R. China)
Internet of Vehicles is becoming more and more popular which enables the communication of inside vehicle, vehicle-to-vehicle (V2V), and vehicle-to-infrastructure (V2I) to help people enjoy safe and comfortable driving. In this paper, we use the communication of inside vehicle and V2V to enable the safety of the vehicle. Namely, we extracted the vehicle information by connecting the OBD system using On-Board Unit (OBU) through Bluetooth interface. And a WIFI connection enables a pad to present a GUI for anti-collision warning, which is based on a Google Map to show the real time GPS information of vehicles. Furthermore, we used the system board which supported 802.11p / 1609.x protocols to make information exchanged in vehicles and the LTE communication to enable a remote server to monitor all cars on road. We demonstrate the implementation results to show the information extracted from vehicles, and the efficiency of data exchanged between vehicles, so that we can alert the driver to ensure a more efficient and safer driving.
11:30 An Efficient Broadcasting Scheme for Military Operations Using Directional Antennas
Ahmed Karam and Liren Zhang (United Arab Emirates University, United Arab Emirates); Abderrahmane Lakas (UAE University, United Arab Emirates)
Most of the existing broadcasting schemes either rely on GPS location or topology information or angle-of-arrival (AoA) calculation or combination of some or all to achieve high reachability. However, these schemes cannot be directly used in battlefield environment due to lack of node location and topology information both of which caused by electronic warfare and random burst mode of communication. This paper proposes an efficient broadcast relaying scheme called Random Directional Broadcasting Relay (RDBR) scheme that greatly reduces the number of forwarding nodes and end-to-end delay while achieving high reachability. This is done by selecting a subset of neighboring nodes to relay the packet using directional antennas without relying on node location, network topology and complex angle-of-arrival (AoA) calculations. We evaluate the performance of our proposed RDBR scheme by comparing it against Flooding and Distance-based schemes. Simulation results show that our proposed RDBR scheme achieves high reachability while reducing both end-to-end delay and the number of retransmitting nodes.
Presenter bio: Ahmed Karam is a PhD candidate in the Faculty of Information Technology at The United Arab Emirates University, UAEU. His research interests include Mobile Ad hoc networks, VANETS, Broadcasting Schemes and Directional Antenna Technologies. Currently, he is investigating and developing efficient broadcasting schemes to overcome the broadcast storm problem in MANETS and VANETS using directional antennas.
Ahmed Karam
11:50 Game theory based Load Balancing in Small Cell Heterogeneous Networks
Mingyang Li (Beijng University of Posts and Telecommunications, P.R. China); Xiaodong Xu (Beijing University of Posts and Telecommunications & Wireless Technology Innovation Institute, P.R. China); Yunting Wang and Rao Zhang (Beijing University of Posts and Telecommunications, P.R. China)
Small cell networks are one effective solution for solving the contradiction between the rapid increased mobile data activity and limited network capacity. Small cells are densely deployed in hot spots, the traffic load of which fiercely fluctuates in space and time. This will cause decrease of network throughput and result in cell congestion. In order to improve network throughput and reduce congestion, load balancing is introduced by 3GPP. In this paper, we propose a hybrid load balancing (HLB) scheme based on improved Cournot game model for small cell heterogeneous networks. We model the small cell heterogeneous networks' load balancing as an improved Cournot game model. The pricing function reflects the interference that a cell suffers from another cell. The HLB algorithm, which combines mobility load balancing with cell zooming, is designed for approximating theoretically optimal solutions of our formulated game model. Simulation results is provided to illustrate that the proposed HLB algorithm has a better performance in terms of system throughput, cell edge throughput and system blocking rate.
Presenter bio: I am a second-year graduated school student.My research focuses on Small cell Load banlancing.I have participated in the project supported by the National Foundation of China and participated in writing a recently published IGI Global publication'Game Theory Framework Applied to Wireless Communication Networks'.

TS2-01: Mobile Internet, Internet of Vehicles, and Internet of Things

Room: K2 Room
10:30 Social Persona Preference Analysis on Social Networks
Cheng-Hung Tsai, Han-Wen Liu, Ping-Che Yang, Tsun Ku and Wu-Fan Chien (Institute for Information Industry, Taiwan)
In the age of information network explosion, users can be connected to various forms of social networking sites whenever and wherever through the Internet, And through the social networking platform to interact with people. Through the media in this way, people know each other's interests and preferences by the relationship between social friends, but for many international companies, it is important to know how to understand individual preferences, because when you know the individual preference information, it can carry out personal preference for advertising, product recommendation, article recommended and other diversified personal social service, which can increase the click rate and exposure of the products, better close to the needs of the user's life. Therefore, with the above through social science and technology development trend arising from current social phenomenon, research of this thesis, mainly expectations for analysis by the information of interaction between people on the social network, such as: user clicked fan page, user's graffiti wall message information, friend clicked fan page etc. three kinds of personal information for personal preference analysis, and from this huge amount of personal data to find out corresponding diverse group for personal preference category. We can by personal preference information for diversify personal advertising, product recommendation and other services. The thesis at last through the actual business verification, the research can improve website browsing pages growth 11%, time on site growth 15%, site bounce rate dropped 13.8%, product click through rate growth 43%, more fully represents the results of this research fit the use's preference.
10:50 Localization of Missing Entities using Parked Cars
Rudi Verago (IBM Research Dublin, Ireland); Joe Naoum-Sawaya (IBM Research Ireland, Ireland); Wynita Griggs and Robert Shorten (University College Dublin, Ireland)
We introduce a novel application to detect tagged entities using a platform based on parked cars. We show experimental results based on real data from the city of Dublin.
Presenter bio: Rudi Verago is a Research Engineer with the IBM Research Centre, Dublin, working on Internet of Things, cloud computing, big data traffic, and large scale software infrastructures as technical leader and architect. Prior to joining IBM, he worked in one of the most important Italian incubator as responsible for the engineering design of innovative technology software/hardware projects (such as embedded connected devices and SOA platforms). He founded two startups developing a novel automation framework targeted for IoT and helping to build a social game platform. He has worked as researcher and teacher at the University of Padua focusing on digital security and distance learning topics, furthermore he had experiences as analyst and software engineer following full life software cycle development. He is co-author of several patents, computer system and scientific publications on the IoT and SOA topics. Rudi Verago holds an MSc in Computer Science (University of Padua, Italy, 2004).
Rudi Verago
11:10 The Development of Vehicle Diagnostic System Based on Android Platform
Hu Jie, Liu Changlin, Yan Fuwu and Zhang Zeyang (Wuhan University of Technology, P.R. China)
To solve troubleshooting problems of vehicles, this paper proposes a novel architecture of vehicle diagnostic system. The system is made up of on-board network layer, business logic layer and cloud service layer. The paper is focused on the development process of the system. The business logic layer includes mobile vehicle platform and equipped vehicle platform. Mobile vehicle platform includes mobile terminals and VCI, and equipped vehicle platform involves designing embedded system hardware and driver, calling JNI layer and developing diagnostic software. In addition, the system uses a modular architecture to meet the requirements of rapid development of new vehicle's diagnostic functions. The cloud service layer mainly includes data storage server and server management system. The test research in real vehicles shows that the system can not only reliably achieve basic diagnosis and real-time data acquisition, but also has the advantages of further updating, remote diagnosis and the rapid development of new vehicle models. Based on this information, we can carry out in-depth mining and expand the applications, such as real-time traffic estimation and performance estimation of key components.
11:30 A Vehicle Electric Control Unit Over-The-Air Reprogramming System
Guoyong Shi (SAIC GM Wuling Automobile Co., Ltd, P.R. China); Zhiwei Ke, Yan Fuwu and Hu Jie (Wuhan University of Technology, P.R. China); Wenjie Yin and Yanhong Jin (Dongfeng Renault Co., LTD, P.R. China)
For the purpose of aftermarket automotive ECU (Electric Control Unit) software upgrading, it is necessary to build an automotive ECU OTA(Over-The-Air) reprogramming system. To obtain a convenient electronic control unit upgrading that aftermarket consumers can achieve by themselves, the server system should be connected to 3G / 4G which is linked to a VCI (Vehicle Communication Interface) System. The VCI is also connected to OBD II, vehicle network and finally to the ECU. Accuracy and flexibility of the reprogramming file can be ensured by establishing a correspondence with the VIN code (the only identification code of a vehicle) and the reprogramming file. A reprogramming program can be developed based on the android system on the VCI and a connection with the CAN bus. The update command is sent out by smart phone. Tests made proved that the system is reliable, convenient and greatly simplifies the reprogramming process.

TS6-01: Practices, Standards, Policy, Economics, and Social Implications

Room: K3 Room
10:30 The non-Technical Issues with Autonomous Vehicles
Issam Kouatli (Lebanese American University, Lebanon)
Autonomous vehicles (AV) are an excellent concept that has many benefits in terms of lowering number of accidents, convenient and cost efficient in the future. Some manufacturers started testing such products in a trial environment. This paper discusses issues related to the release of AV commercially in the market. Issues are related to business, insurance, and traffic implications, cloud computing usage as well as privacy and security issues. The objective of this digest paper is to highlight these issues in order to put an efficient strategy before commercial release of such beneficial product.
10:50 An Effective Multiple-Level Fault-Tolerant Framework for FlexRay Network Systems
Kuen-Long Lu and Yung-Yuan Chen (National Taipei University, Taiwan)
FlexRay, as a communication protocol for automotive control systems, is developed to fulfill the increasing demand on the electronic control units for implementing systems with higher safety and more comfort. The applications of FlexRay drive-by-wire systems are often associated with human life, so the reliability issue of FlexRay network systems should be carefully studied. In this paper, we will propose an effective ECU-level fault-tolerant framework for safety-critical FlexRay network systems. The proposed framework demonstrates how to employs the backup nodes, mirrored tasks and task migration to sustain the operation of system when ECUs fail. Furthermore, we proposed reliability models for the analysis of fault-tolerant FlexRay network systems in early design phase. Thus the design iteration due to insufficient system reliability can be effective reduced.
Presenter bio: Kuen-Long Lu received the MS degree from the Department of Computer Science and Information Engineering, Chung-Hua University, Taiwan, and currently he serves for the Automotive Electronics Design & Application Dept., Division of Biomedical & Industrial IC Technology, Information and Communication Research Laboratories, Industrial Technology Research Institute. he is also the PhD student with the Department of Electrical Engineering, National Taipei University, Taiwan. His research interests include fault-tolerant processor/SoC design and validation, safety-critical automotive system design and analysis, reliability analysis for Reliable in-vehicle communication, FlexRay.
Kuen-Long Lu
11:10 Joint Handover Decision to Relieve Ping-Pong effect in V2X Communication
Shiwei Cao, Xiaofeng Tao and Yanzhao Hou (Beijing University of Posts and Telecommunications, P.R. China)
Vehicle Communication is a research hotspot in recent years, and 3GPP has list V2X communication into the process of standardization. V2X communication has a more stringent requirements for QoS and delay, especially for road safety message. The unnecessary handovers between two base stations in a short interval, so-called ping-pong effect, impact on the quality of communication seriously. So it is important to prevent ping-pong effect in V2X communication. In this paper, we proposed a Joint Handover Decision(JHD) algorithm based on the characteristics that the target terminal connects with other devices around it in V2X communication, to improve the accuracy of handover and relieve the ping-pong effect. The JHD algorithm of target terminal is described by probability using Bayes Model in machine learning. Finally, simulation results show that the proposed algorithm is effective, and can decrease the ping-pong effect 33\% to 87\%, compared with the LTE handover algorithm.

Thursday, October 22, 13:30 - 15:30

TS1-02: Wireless Communications and Vehicular Networking

Room: K1 Room
13:30 Real time road mapping for the driving safety purposes
Md. Mahmud Hasan (International IT University, Malaysia); Beibut Amirgaliyev (International Information Technologies University, Kazakhstan)
This research has been conducted for the critical road conditions in the area of Almaty region. This region is highly influenced by the Trans-Ili Alatau mountain branch of the Tian Shan Mountains extends from China and Kyrgyzstan into Almaty Region, along its southern border with Kyrgyzstan. With the mountainous road condition, the weather condition of (+350 to -250C) added addition necessity of the extra precautions. These lead to this research work, to monitor the road and broadcast the vital information for the drivers. To achieve this goal, a device has been designed and implemented in the car. This device is capable of collecting the road conditions data set like ditches, potholes, tubercles, icy condition, black ice, gully erosion, with location information and/or any human interrupted specific data. To visualize these information standard Google Map's API has been used. The readable Google Map apps will create the final information which is real time driving information for the driver. The effectiveness of this system will improve driving safety and increasing situational awareness on the roads. By-product of this system can be used by the communication ministry for the sessional maintenance of the road communication systems of the country.
13:50 Priority-Based Cell Selection for Mobile Equipments in Heterogeneous Cloud Radio Access Networks
Lusheng Wang, Weiwen Huang, Yuqi Fan and Xiumin Wang (Hefei University of Technology, P.R. China)
In heterogeneous cloud radio access networks (HCRAN), various types of hyper-dense cells coexist and overlap with one another. Cell selection (CS), i.e., each mobile equipment (ME) always selects the most appropriate cell for access, becomes one of the key issues that have not been well solved yet. With traditional schemes, CS decision should be triggered at any time when an ME moves across any cell border. Since the deployment of femtocells in the near future will be extremely dense, an ME may quite frequently move across the border of femtocells, causing too frequent triggers of CS decisions and resulting in additional computation, signaling, energy, and latency costs. In this paper, the priorities of various types of cells are decided by cell features, ME mobility features, and application features. Since the above features change relatively slow, the priorities can be considered as static in certain period. When moving across any cell border during such a period, instead of triggering a CS decision, our scheme is to select directly the type of cells with the highest priority. Simulations show that our scheme decreases the rate of CS decisions for MEs moving in dense HCRAN scenarios.
Presenter bio: Lusheng Wang is currently a professor at Hefei University of Technology (HFUT) in the team of wireless communications and networking. Before joining HFUT, he was post-doc at both EURECOM and INSA-Lyon during 2010-2012. He obtained his Ph.D. from Telecom ParisTech in 2010. He has published about 30 refereed international journal and conference papers. He is a member of IEEE.
14:10 CRUV: Connectivity-based Traffic Density Aware Routing using UAVs for VANets
Omar Sami Oubbati (University of Laghouat, Algeria); Abderrahmane Lakas (UAE University, United Arab Emirates); Nasreddine Lagraa (Amar Thelidji University, Laghouat & LIM Laboratory, Algeria); Mohamed Bachir Yagoubi (University of Laghouat, Algeria)
The advent of commercial drones or unmanned areal vehicles (UAV) is expected to facilitate the deployment of a plethora of UAV-based applications. As a result, we expect UAVs to cooperate in ad hoc fashion and joint existing vehicular ad hoc networks. In this paper, we propose a novel routing scheme for Vehicular Ad hoc Networks (VANets) by using unmanned aerial vehicles (UAVs) through cooperative and collaborative communication. Our approach is based on information exchange between vehicles and UAVs to help vehicles in the ground find the best multi-hop path by selecting the most appropriate next intersection to deliver the data packets successfully to their destinations. We use the real time traffic variation which is estimated with a completely distributed manner based on the periodic exchange of Hello messages between all vehicles and UAVs in the system. In this work, we aim at integrating UAV-to-Vehicle (U2V) and Vehicle-to-UAV (V2U) communications to make routing in the presence of UAVs more efficient and more reliable, and to ensure packet delivery with a minimum of packet losses. This protocol is beneficial to develop more intelligent connected nodes in the future.
14:30 ICA Based Decoding for a Multi-Cell Massive MIMO Uplink System
Yangyi Liu, Haiquan Wang, Wan Zhang, Qian Xu and Lei Shen (Hangzhou Dianzi University, P.R. China)
Pilot signal reuse in neighboring cells causes the pilot contamination, and performance will degrade significantly in a multi-cell, massive MIMO uplink system. In this paper, based on Principle Component Analysis (PCA), Independent Component Analysis (ICA) and a few pilot signals, a new decoding method is proposed. In this method, we implement the PCA to reduce the dimension of the received signals from both inter-cell and intra-cell, carry out the ICA to separate the transmitted signals from the received signals, and make use of the pilot signals to overcome the ambiguity of the ICA so that the order of the transmitted signals can be determined. Therefore, channel estimation is not necessary in this method, and moreover, the information about path-loss and shadowing factor of channel can be unknown. Simulations show that, the stronger the interference from the inter-cell or the intra-cell, the better the performance of the proposed decoding method.
14:50 New Decoders in a Two User's Interference Channel
Qian Xu, Haiquan Wang, Yangyi Liu and Ying Na (Hangzhou Dianzi University, P.R. China)
For a two user's MIMO interference channel, the design of decoder is important to understand the channel. In this paper, two decoders namely hierarchical constellation based ML decoder and hierarchical constellation based DIC decoder are proposed. For each decoder, analysis of performance based on pair-wise error probability and examples are given, and also comparisons on the performances are made. Analysis shows that, these proposed decoders have lower decoding complexity than the ML decoder, and better performance than the direct decoder, especially when Interference-Noise Ratio (INR) is approaching to or larger than Signal-to-Noise Ratio (SNR). These conclusions are confirmed by simulation results.

TS3-01: Cooperative Driving, Autonomous Driving, and Intelligent Vehicles

Room: K2 Room
13:30 An Intelligent Speed Advisory System for Electric Vehicles
Mingming Liu and Rodrigo H. Ordonez-Hurtado (University College Dublin, Ireland); Fabian Wirth (University of Passau, Germany); Yingqi Gu (University College Dublin, Ireland); Emanuele Crisostomi (University of Pisa, Italy); Robert Shorten (IBM, Ireland)
Intelligent Transportation Systems (ITS) can be used to involve vehicles and the road infrastructure to cooperatively implement a number of innovative and useful applications. Here, we explore the possibility to adopt a consensus based distributed speed advisory system to determine the optimal recommended speed in urban areas where only electric vehicles are allowed to travel (e.g., in the city centre). The optimality criterion is to maximise the energy efficiency of a fleet of vehicles travelling in the restricted area, and we adopt recently proposed distributed privacy-preserving consensus algorithms to achieve the desired objective.
Presenter bio: Mingming Liu received his B.E. degree in Electronic Engineering with first class honours from National University of Ireland Maynooth (now Maynooth University) in 2011. He has currently obtained his PhD degree in Applied Mathematics from the Hamilton Institute, Maynooth University. He is now a post-doctoral research fellow in the school of Electrical, Electronic and Communications Engineering, University College Dublin, working with Prof. Robert Shorten. His current research interests are nonlinear system dynamics, distributed control techniques, modelling and optimisation in the context of smart grid and smart transportation systems.
Mingming Liu
13:50 Visual Vehicles Detection and Robustness Enhancement
Peijiang Kuang, Zhiheng Zhou, Kaiyi Liu and Ming Dai (South China University of Technology, P.R. China)
This article is about vehicles detection from visual data which is an important part of automotive driving assistance systems. It is a big challenge to make the vehicles detection more robust. In order to enhance the robustness, a lane lines stabilization methods is proposed by studying the imaging model. Next, a hypothesis generation and verification framework is applied for saving time. Finally, our approach is compared to the Entropy-verified method and DPM in runtime performance and false positive ratio. It turns out that our approach gets a balance between runtime performance and false positive ratio.
Presenter bio: Peijiang Kuang received the B.E. degree in information engineering and is M.E. degree in reading in information engineering in South China University of Technology, Guangzhou, China. He is currently a student with South China University of Technology. His research orientations are image processing and machine learning.
Peijiang Kuang
14:10 Early Car Collision Prediction in VANET
Qiong Wu (The University of Hong Kong Hong Kong, Hong Kong); Hui, Cheuk Yu Yeung and Tat Wing Chim (The University of Hong Kong, Hong Kong)
Traffic safety is critical to our lives. In recent years, the increasing traffic accidents have brought considerable deaths. Reducing the rate of car accident has become one of the most important tasks in transportation field. VANET is a widely used platform contributing to possible solutions. In the past, there are protocols to generate or broadcast warning messages after vehicle collision. However, since most of them are made after car accidents have already occurred, they may help accident investigation but do not prevent the accident from taking place. In this paper, we proposed a method using support vector machine(SVM) [1] for early car accident detection in VANET. Once any dangerous situation is predicted, immediately the endangered driver gets a alert along with a suggestion to avoid danger.
Presenter bio: C.Y. Yeung is a current Ph.D. student in the Department of Computer Science at the University of Hong Kong supervised by Dr. Lucas C.K. Hui. He received his First Class Honour, B.Eng. degree in Computer Science from the University of Hong Kong in 2013. His research interest include information security and network simulation, currently having research in Vehicle Ad-hoc Network (VANET).
Cheuk Yu Yeung
14:30 POFS: A Novel Pedestrian-oriented Forewarning System for Vulnerable Pedestrian Safety
Zhenyu Liu (Beijing University of Posts and Telecommunications, P.R. China); Lin Pu (Beijing Jiaotong University, P.R. China); Zhen Meng, Xinyang Yang, Konglin Zhu and Lin Zhang (Beijing University of Posts and Telecommunications, P.R. China)
As the popularity of the smartphone is increasing, the number of people getting involved in accidents with vehicles while using their smartphones is also increasing. Pedestrians divert their attention from walking because of the attraction of smartphone, which causes the accidents. It is critical to design a pedestrian-oriented system to alert the pedestrian smartphone users to imminent dangers while they are immersed in their smartphones. In this paper, a novel Pedestrian-Oriented Forewarning System (POFS) is proposed to protect the distracted vulnerable pedestrians. POFS divides the states of smartphone into four kinds: scene-centric state, voice-centric state, scene-voice state and silent state, and provides the adaptive alert mode on the basis of specific state. An on board unit (OBU) which can achieve IEEE 802.11p and the traditional WiFi protocols is proposed to support the vehicle-to-vehicle (V2V) and vehicle-to-pedestrian (V2P) communication at the same time. An efficient collision estimation algorithm is proposed to provide reliable alert for pedestrian. Experimental studies show that POFS can successfully alert the pedestrian using the efficient alert within a sufficient reaction time.
Presenter bio: Zhenyu Liu joined the School of Information and Communication Engineering in Beijing University of Posts and Telecommunications (BUPT) to pursuit the Ph.D’s degree in 2014. His research interests are the evaluation and development of the MAC layer protocol, and mobility management in the vehicular networks.
14:50 CVMS: Cloud Based Vehicle Monitoring System in VANETs
Jetendra Joshi (NIIT University & NIIT University, India); Kritika Jain and Yash Agarwal (NIIT University, India)
Integration of Cloud computing with VANET is supposed to be the next big thing because of its scalability and reliability. In vehicular ad hoc networks (VANETs) the network services and applications (e.g., safety messages, vehicle navigation data) will require an exchange of vehicle and event location information. This paper proposes a new VANET-Cloud integrated service called VWS: (Videos Surveillance on Wheels) as service in which, vehicles moving on the road serve as witnesses of designated events, capture the real time video or photo of specific location, route or a deadly accident. A group of vehicles with mounted on board navigation units collaborate to form the vehicular cloud and sends the real time data to central cloud using roadside cloud. The proposed real time cloud based video capture system has been experimented with various scenarios of video-based road services. The algorithm for efficient lane changing, navigation data transferring from vehicular cloud to the central cloud in a real time environment has been implemented on a simulator of an on board camera based embedded system. The goal of this service is to recognize and track faulty vehicle, emergency vehicles, video and photo capturing of any event, route or location. The presented work demonstrates the potential of our proposed system for enhancing and diversifying real-time video services in road environments.

TS1-06: Wireless Communications and Vehicular Networking

Room: K3 Room
13:30 Binary programming model to optimize RSU placement for information dissemination
Hamid Reza Eftekhari, Alireza Jalaeian Bashirzadeh and Mehdi Ghatee (Amirkabir University of Technology, Iran)
Vehicular communication systems are developed not only to increase safety but also for mobility of road transportation. Roadside units (RSU) are the prominent elements of this technology. This equipment is installed in roadside and intersections to gather traffic information from vehicles and to send messages and alarms to vehicles. Due to costly implementation and maintenance of this equipment, determining the number of RSUs and placement of them is an important problem. In this paper, we proposed a novel binary programming (BP) model to a placement of RSUs beside a road for maximizing information dissemination to vehicles. This approach makes decisions based on the number of curves, the number of on-ramps, accident rate, weather condition, and cost limitations. The proposed model is applied on Tehran to Pardis freeway. According to computational experiments, four operational phases to equip the whole road for information dissemination is obtained.
13:50 Traffic Efficiency Improvement and Passengers Comfort in Ridesharing Systems in VANETs
Ming Zhu (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, P.R. China); Ruimin Shen (Shanghai Jiaotong University, P.R. China); Wei Shu (The University of New Mexico, USA); Min-You Wu (Shanghai JiaoTong University, P.R. China)
Ridesharing has become one of the most attention-grabbing trends in modern transportation recent years. This paper studies traffic efficiency improvement and comfort of passengers in ridesharing systems in smart cities. We introduce several improvement methods, and some tradeoffs involving comfort in ridematching strategies. The traffic efficiency can be improved with preserving the service level of passengers through several methods, eg, recommending pickup or dropoff locations, transfers, and corporation with other transportation systems. The total travel distance of vehicles and the total travel time of passengers can be dropped. Therefore, passengers can enjoy their trips with sustaining a little discomfort, and the whole traffic efficiency in smart cities is improved.
14:10 Decision At the Intersection for Data Delivery in Urban Vehicular Ad Hoc Networks
Miao Hu, Zhangdui Zhong and Minming Ni (Beijing Jiaotong University, P.R. China)
Increasing generated data volume and the rare bandwidth resource make the data delivery through vehicle-to-vehicle (V2V) a preferred mode for vehicular networks. However, in the urban vehicular environment, the traffic density information collected by the densely deployed cameras along the road were not used efficiently on the design of the data delivery policy. In this paper, a strategy for the decision on the intersection is proposed to find a data delivery route with minimum delay in urban vehicular ad hoc networks. A conditional prediction on the delay performance is used in making a decision. Simulations are conducted to validate the performance of the proposed algorithm.
14:30 Packet Reception Probability of VANETs in Urban Intersection Scenario
Minming Ni, Miao Hu, Zhe Wang and Zhangdui Zhong (Beijing Jiaotong University, P.R. China)
In this paper, we focus on the intersection scenario, and present a general framework to analytically derive the packet reception probability of a specific link in vehicular ad hoc networks (VANETs). By using the stochastic geometry, we provide an overview of the properties for both the signal propagation and MAC protocol specified for the intersection scenario. The results indicate that the proposed analytical framework is sufficiently general and flexible to deal with a variety of scenarios, and can thus serve as a useful tool for communication system engineers, complementing simulations and experiments.

Thursday, October 22, 15:50 - 17:50

TS1-03: Wireless Communications and Vehicular Networking

Room: K1 Room
15:50 Collision Avoidance at Intersections Using Vehicle Detectors and Smartphones
Akhil M (Amrita University, India); Nirmala Vasudevan (Amrita Viswha Vidyapeetham University, India); Ullas Ramanadhan (Amrita University, India); Alin Devassy Ananyase (Robert Bosch(RBEI) & Amrita Center for Wireless Networks and Applications, India); Dilip Krishnaswamy (IBM Research, India); Anand Ramachandran (Amrita University, India)
Traffic accidents are the leading cause of deaths for people aged 15 to 29 and the eighth leading cause of deaths globally. Accidents at intersections are common, since vehicles approaching the intersection are not always visible to one another. Conventional methods, such as the use of traffic lights, and newer solutions that make use of GPS and VANET are not particularly effective in India for reasons of adaptability, accuracy, cost and availability. Our solution promises to be both inexpensive and effective in India. We propose to install a few inexpensive vehicle detectors (VDs) near intersections. When a vehicle approaches the intersection, it will pass the VDs sequentially which will then transmit their unique IDs to a smartphone in the vehicle. The smartphone will transmit the VDs' IDs and relevant kinematic data to a base station at the intersection. Thus, the base station can accurately compute the times when vehicles are expected at the intersection. In the event of a potential collision, the base station will transmit a warning to the smartphones of the concerned drivers.
16:10 Bus-Based Content Downloading for Vehicular Ad Hoc Networks
Zhe Wang, Zhangdui Zhong and Minming Ni (Beijing Jiaotong University, P.R. China); Chih-Yung Chang (Tamkang University, Taiwan)
Vehicular Ad Hoc Networks (VANETs) represent promising technologies for comfort driving and entertainment applications which rely heavily on the data downloading. Due to the rapid change of network topology and intermittent connection, it is a big challenge to satisfy the download requirements from multi-vehicles at the same time. This paper proposes a Bus-Based Content Downloading (BBCD) which aims to maximize the volume of downloaded data from bus to vehicles while the download opportunity fairness of each vehicle is taken into consideration. By predicting the number of buses which the vehicle would encounter in its future path and estimating the connection duration that the vehicle stays in the coverage of bus, the proposed BBCD schedules the download service for vehicles slot by slot such that the volume of downloaded data can be guaranteed while achieving the download opportunity fairness. The effectiveness of the proposed algorithm is evaluated by extensive simulations.
16:30 Utilizing RSS-Ratio for Implementing Anonymous Communications in VANETs
Wei Cheng and Xiaolu Cheng (Virginia Commonwealth University, USA); Dechang Chen (Uniformed Services University of the Health Sciences, USA)
As vehicles meet each other occasionally in VANETs, users will naturally have the requirement of protecting their privacy during VANET communications. The privacy requirements bring unique challenges for the communication setup and maintenance as any information (such as IP address and MAC address) that may relate to the users' IDs should not be used. To resolve this problem, we propose to utilize the dynamic physical level information, RSS-Ratio, as the address. This digest paper briefly presents why RSS-Ratio can be used as an address while not revealing users' IDs, and our proposed method of utilizing RSS-Ratio for anonymous connection setup and maintenance.
16:50 Performance Improvement in Wireless Sensor and Actor Networks through Actor Repositioning
Fazlullah Khan (Abdul Wali Khan University, Pakistan)
Wireless sensor and actor network is a heterogeneous network in which actor nodes enjoy higher capabilities of sensing, transmitting, and processing. The collaboration of actor nodes with the sensor nodes has significant advantages compare to traditional sensing. Actor nodes take accurate decisions and appropriate actions based on the collected data by sensor nodes, and also reposition themselves to nearby event region. In Wireless Sensor and Actor Networks (WSAN), sensor nodes are larger in quantity with lesser capabilities and actor nodes are very few but have higher capabilities. Actor nodes are responsible for taking a localized decision which requires strong cooperation among neighboring actor nodes. Therefore, appropriate placement of actor nodes in WSAN is very important and it needs proper attention to cover larger region, reduce communication delay, and get better load balancing among actor nodes. However, in some applications this may not be possible as sensor networks are deployed on run time. Moreover, accurate deployment is difficult at the time of network establishment. After event detection sensor nodes inform the nearest actor node through multihop communication. To get better performances like low energy consumption by sensor nodes and better network life time, actor nodes must be repositioned near to the event region. In this paper we have introduced a novel mechanism for getting better network lifetime, low energy consumption, minimum delay, and high throughput through proper repositioning of actor nodes. In this paper an actor can find suitable coordinates for repositioning itself or some other actor based on Euclidean distance, energy of the region and number of nodes.
Presenter bio: I am a student researcher.
17:10 A Visible Light Communication based Infra-to-Vehicle Intelligent Transport Demo System
Pengju Fang (Nanjing University of Posts & Telecommunications, P.R. China); Jianhua Shen (Nanjing University of Posts and Telecommunications, P.R. China)
The Visible Light Communication (VLC) has been shown great potential for future Intelligent Transport System (ITS) application scenario. The infra-to-vehicle scheme is one of the most important issues in ITS applications. This paper proposes a VLC based infra-to-vehicle demo system. Based on the theoretical analysis of typical scenario, a demo system is designed and implemented.

TS3-02: Cooperative Driving, Autonomous Driving, and Intelligent Vehicles

Room: K2 Room
15:50 Vehicular Collision Avoidance Using Video Processing and Vehicle-to-Infrastructure Communication
Road intersections, without signal lights, especially those with walls or other objects that block the driver's view, are a major traffic safety hazard. A significant number of accidents happen at these intersections. The risk factor is further aggravated by the presence of animals or pedestrians which is a common occurrence in developing countries such as India. In our proposed research, we aim to provide early warning to drivers at intersections to help them avoid possible collisions. This can be achieved with the help of a low-cost camera unit combined with special hardware for image capture/processing and Vehicle-to-Infrastructure (V2I) communication. Therefore, when an object on a collision path, such as a motor vehicle, pedestrian, or animal is detected by the system, a warning is issued to the nearby vehicles enabling drivers to react to critical situations quickly and effectively.
16:10 RoadPlot-DATMO: Moving Object Tracking and Track Fusion System using Multiple Sensors
Kiin Na (ETRI, Korea); Jaemin Byun (Electronicsand Telecommunications Research Institute (ETRI), Korea); Myoungchan Rho and Beomsu Seo (ETRI, Korea)
This paper introduces the RoadPlot-DATMO, tracking objects around the vehicle using multiple sensors such as radars, 2D LiDARs, and a 3D LiDAR. It consists of the xytracker, the xyztracker, and the fusion; the xytracker tracks moving objects with multiple 2D LiDARs, the xyztracker per- ceives object information in detail using a 3D LiDAR, and the fusion merges tracks from multiple trackers. It is able to detect and to track moving objects around the vehicle correctly and continuously without blind area in realtime. Also, this was tested with driverless overtaking on a highway using the autonomous vehicle, the CoPilot of the ETRI.
16:30 Segment-based Free Space Estimation using Plane Normal Vector in Disparity Space
Jeonghyun Seo, Changjae Oh and Kwanghoon Sohn (Yonsei University, Korea)
This paper proposes a framework of segment-based free space estimation using plane normal vector with stereo vision. An image is divided into compact superpixels and each of them is viewed as a plane composed of the normal vector in disparity space. To deal with the variation of illumination and shading in real traffic scenes, we estimate depth information for the segmented stereo pair. The representative normal vector is then computed at superpixel-level, which alleviates the problems of conventional color-based approaches and depth-based approaches simultaneously. Based on the assumption that the central-bottom of input image is navigable region, the free space is then determined by clustering the plane normal vectors with the K-means algorithm. In experiments, the proposed approach is evaluated on the KITTI dataset in which we provide the ground truth labels for free space region. The experimental results demonstrate that the proposed framework effectively estimates the free space under various real traffic scenes, and outperforms current state of the art methods both qualitatively and quantitatively.
16:50 An Intelligent Brake-By-Wire System Design and Analysis in Accordance with ISO-26262 Functional Safety Standard
Kuen-Long Lu and Yung-Yuan Chen (National Taipei University, Taiwan)
ISO-26262, as the primary functional safety standard for automotive system, covers the management of functional safety, safety lifecycle and safety assessment according to the Automotive Safety Integrity Level (ASIL). The ASIL of an automotive system in ISO-26262 is determined by the Hazard Analysis and Risk Assessment (HARA). In this paper, we based on the ISO-26262 functional safety concept to conduct an Intelligent Brake-By-Wire System (IBBWS) design and analysis framework. The main contribution of this paper is to demonstrate how to analyze the functional safety for an automotive system, determine the ASIL to be achieved according to the safety analysis results and how to perform the safety design for IBBWS to meet the demanded ASIL with FTA (Fault Tree Analysis) and FMEA (Failure Mode and Effect Analysis).
Presenter bio: Kuen-Long Lu received the MS degree from the Department of Computer Science and Information Engineering, Chung-Hua University, Taiwan, and currently he serves for the Automotive Electronics Design & Application Dept., Division of Biomedical & Industrial IC Technology, Information and Communication Research Laboratories, Industrial Technology Research Institute. he is also the PhD student with the Department of Electrical Engineering, National Taipei University, Taiwan. His research interests include fault-tolerant processor/SoC design and validation, safety-critical automotive system design and analysis, reliability analysis for Reliable in-vehicle communication, FlexRay.
Kuen-Long Lu
17:10 Network Codes-based Content-Centric Transmission Control in VANET
Qingtao Wang (State Key Laboratory of Networking and Switching Technology); Dongliang Xie (State University of New York at Stony Brook, USA); Xiangyang Ji (State Key Laboratory of Networking and Switching Technology, P.R. China)
The boost of wireless technology brings dramatic growth for Vehicular ad-hoc networks(VANETs). The effective routing and forwarding protocol is critical for the performance of VANETs thus influence the Automatic driving and information distribution. The dynamic characteristic of vehicle to vehicle(V2V) communications makes it hard to maintain a reliable path between vehicles. In order to improve transmission performance in VANETs, we make full use of the Content-centric information dissemination, and there are some existing efforts on proving feasibility of content-centric network(CCN). In this paper, we propose a novel Source Selection Dynamically Network Coding-based Information Centric Network protocol (SSDNC), which introduces CCN architecture in VANET. SSDNC exploit the features of CCN to make multiple sources exist. With the application of Analytic Hierarchy Process(AHP), requested symbols can be distributed adaptively to different interfaces according to their weight. Then the forwarding decisions will be made to obtain the information that makes transmission more efficiently. Moreover, we take advantage of network coding (NC) to eliminate the network redundancy for the purpose of achieving higher performance. We evaluate the performance of the SSDNC using ndnSIM over NS-3 network simulator, which focused on the size of chunk, throughput and average transmission delay and compared with ICTP. The result shows that the performance of our protocol is better than ICTP.

TS5-02: Emerging Technologies and Applications for Next-Generation Transportation

Room: K3 Room
15:50 Augmented Reality Multi-view Video Scheduling under Vehicle-Pedestrian Situations
Jiulong Wu, Quanxin Zhao and Ning Yang (University of Electronic Science and Technology of China, P.R. China); Jingshan Duan (University of Electronic Science Technology of China, P.R. China)
It can be very challenging to guarantee video applications with strict Quality-of-Service (QoS) for bandwidth limited wireless small cell networks. Augmented-Reality Multi-view-video (ARM), with the characteristics of 1) virtual video integrated by augmented reality technology and 2) multiple video streams captured by multiple cameras, can not only enrich video experience but provide changeable viewpoints. To eliminate redundant Overlapping Frames (OFs) and common virtual parts, this paper develops an Overlapping-Reduced Augmented-Reality Multi-view-video (ORARM) architecture for ARM. Furthermore, for guaranteeing the required QoS in small cell networks, we propose a novel network architecture named Hybrid-Unicasting-Multicasting Device-to-device (HUMD). After that, with the aim of minimizing small cells bandwidth consumption, we formulate a problem under the HUMD architecture. Then, a low-complexity resource scheduling scheme named Offloading Traffic Scheduling (OTS) is then proposed. The obtained evaluation have demonstrated that OTS can achieve better bandwidth saving performance than that of the conventional solutions.
Presenter bio: Wu Jiulong received the bachelor degree in communication engineering from University of Electronic Science and Technology of China. He is currently working toward the master degree with University of Electronic Science and Technology of China, Chengdu, China.His research interest is resource allocation and data delivery in wireless small cell networks.
Jiulong Wu
16:10 Design of Network Mobility Support in Expressive Internet Architecture
Meng Hongwei and Zhong Chen (Peking University, P.R. China); Song Chuck (Carnegie Mellon University, USA); Meng Ziqian (Peking University, P.R. China)
Integrating the mobility support functionality into the network architecture intrinsically is becoming a key factor for Future Internet Architecture (FIA). This paper proposes a novel network mobility (NEMO) support method in eXpressive Internet Architecture (XIA), a new FIA currently under development as part of the US National Science Foundation's (NSF) program. We introduce a rendezvous agent (RA) providing mobility service for each mobile node and Mobile Router (MR) in XIA. We also set the fallback to RA in mobile node's DAG to ensure the reachability for every node. Moreover, a RA Binding List (RBL) is created and maintained by MR to accelerate binding update procedure for the mobile nodes inside MR. Our proposed method is effective in complicated mobility scenarios, while simple in network control plane and efficient in data plane.
Presenter bio: Meng Hongwei is a Ph.D. candidate from Key Laboratory of High Confidence Software Technologies Ministry of Education, Peking University, P. R. China. He received his M.E. degree in Communication and Information System from Jilin University in 2007. His current research interests include vehicular networks, future internet architecture and network security.
Meng Hongwei
16:30 A method of visual management platform for connected vehicles data
Yun-peng Wang, Yuzhou Li, Daxin Tian and Jian Wang (Beihang University, P.R. China); Jiajie Wang (Key Lab of Urban ITS Technology Optimization and Integration, P.R. China)
At present, the collection of connected vehicles data is not a problem any more but the platform and visualization are the most needed for traffic data . Management of the collected data, platform operation, and visualization technology are the topics of this paper. Through using the new ECharts data visualization tool, we could achieve large data in real-time display with an ordinary WEB browser.
16:50 Optimal Reconstruction Bandwidth Scheme for Zigzag-decodable Code with Combination Property in Cloud Storage System
Mingjun Dai, Bailu Mao, Yongjun Fan, Xiaohui Lin, Hui Wang and Bin Chen (Shenzhen University, P.R. China)
A data reconstruction scheme for the code that possesses the combination property (CP) and zigzag decodable (ZD) is proposed for distributed storage system. (n, k) CP is defined as follows: k message of L bits each is encoded to n >= k packets and then stored into n storage nodes, respectively. Any k out of the n storage nodes can recover the original message. Since the code operate within binary field only which cannot support (n, k) CP for n greater than 3, and hence we need some storage overhead to tackle this problem. In the data reconstruction process, however, it is shown that no overhead is required. In other words, our proposed scheme contacts k storage nodes and fetches L bits from each storage node. Though the scheme is designed dedicated for (8, 4) CP at this stage, it sheds light on further generalizing for arbitrary (n, k).
17:10 An Extensible Simulation Framework for Evaluating Centralized Traffic Prediction Algorithms
Michael Wisely, Ali Hurson and Sahra Sedigh Sarvestani (Missouri University of Science and Technology, USA)
Due to the increasing popularity of smartphones and in-dash navigation equipment, traffic data gathered by mobile devices has grown in popularity as a basis for predicting traffic conditions. Mobile devices submit location information to a central server, where future traffic conditions are computed. Because this type of system would be expensive to test with real drivers, algorithms for road traffic prediction are often evaluated according to the outcomes of simulations. These simulations frequently use the same types of vehicle data to model the flow of traffic. Based on the observation that these algorithm simulators share common functionality, we have developed a framework to facilitate the rapid development of simulators for traffic prediction. Using our framework, developers can quickly implement traffic prediction simulators with included data processing and visualization features. To date, we have utilized the framework in creating two separate simulators for influence-aware predictive density queries and naive density queries, respectively.
Presenter bio: Michael Wisely received B.S. degrees in Computer Science and Computer Engineering from the Missouri University of Science and Technology in 2012. He is currently a Ph.D. candidate in Computer Science at Missouri S&T, where he is a GAANN Fellow and a Chancellor's Fellow. His research interests include traffic modeling and distributed computing. Michael is a member of IEEE and ACM.
Michael Wisely

Friday, October 23

Friday, October 23, 10:30 - 12:30

TS1-04: Wireless Communications and Vehicular Networking

Room: K1 Room
10:30 A Two-year Survey on Security Challenges in Automotive Threat Landscape
Wei Yan (VisualThreat)
The threat landscape is changing and the connected-car now becomes a new cyber attack target. When mobile connects both car and the vehicle cloud via mobile apps, connected-car solutions are bringing new threats into the vehicle. As early as late 2013, we began to find security vulnerabilities for car makers, TSP (Telematics Service Providers), car sharing companies, OBD dongle manufacturers and auto app developers in their products and services. With our helps, those vendors have fixed security vulnerabilities. In our knowledge, it is first comprehensive connected-car security survey covering both premarket and aftermarket. More than 80 testing checkpoints have been applied on the security penetration testing. In this paper, we will show our research findings.
10:50 Market Competition-Based Joint Resource Allocation in Primary and Cognitive Radio Networks
Shujun Han (Beijing University of Posts and Telecommunications, P.R. China); Yanhui Lu, Xiaomin Mu and Shouyi Yang (Zhengzhou University, P.R. China)
In this paper, we study the problem of jointing power and rate optimization in multi-channel Heterogeneous Cognitive Radio Networks (H-CRNs), where the Leader-Follower relationship between Primary Users (PUs) in macrocells and Secondary Users (SUs) in femtocells is modeled as a Stackelberg game. We formulate the problem of power allocation in primary networks as a Non-Cooperative Game, while formulate the jointing power and rate optimization in cognitive networks as a Market Competition Equilibrium problem. Furthermore, we propose a Primary networks and Cognitive networks Joint Resource Allocation (PCJRA) algorithm to maximize the utilities of SUs subject to the maximum rate requirements for PUs. Theoretical analysis and simulation results demonstrate both the feasibility of the multi-channel H-CRNs model and the effectiveness of the proposed PCJRA algorithm.
Shujun Han
11:10 First Fresnel Zone Analysis in Vehicle-to-Vehicle Communications
Jhihoon Joo (Kyungpook National University, Korea); Hong-Jong Jeong (Wayties Inc., Korea); Dong Seog Han (Kyungpook National University, Korea)
The Fresnel zone is often utilized for the determination of the existence of the line-of-sight (LOS) in wireless communication links. In this paper, the first Fresnel zone clearance is analyzed especially focused on vehicle-to-vehicle (V2V) scenarios. The results reveal that clear wireless communication links with transmitter and receiver separation distances exceeding 500 m are regarded as non-LOS (NLOS) links.
11:30 CCN-based Cooperative Caching In VANET
Lanchao Liu (State Key Laboratory of Networking and Switching Technology); Dongliang Xie (State University of New York at Stony Brook, USA); Siyu Wang (Beijing Univ Posts & Telecommun & State Key Lab Networking & Switching Technol, P.R. China); Zhen Zhang (State Key Laboratory of Networking and Switching Technology, P.R. China)
Vihicular Ad hoc Network(VANET) has developed rapidly in recent years, which requires information sharing, especially in secure and efficient driving. Content-centric Network (CCN) performs better in content retrieving with its in-network caching and naming-based routing. Whether to select a node as a caching point is very important for communications in VANET beacause of the shiftting from end-to-end communication to content-oriented communication. In order to get better content retrieval performance, we adapt the behaviour of CCN nodes for VANET. To decide which node being the caching point, we propose a node selection algorithm based on the minimum vertex cover set theory in static networks. Furthermore, we propose Collaborative Caching Based on Socialized Relations (CCBSR) to determine the caching point to solve the disconnecty caused by the mobility of vehicles. Extensive simulations in highway show that our mechanism speeds up the content retrieval and makes the video more fluent.
11:50 Multi-path Transmission Protocol in VANET
Yuhong Bai (State Key Laboratory of Networking and Switching Technology); Dongliang Xie (State University of New York at Stony Brook, USA); Siyu Wang (Beijing Univ Posts & Telecommun & State Key Lab Networking & Switching Technol, P.R. China); Ming Zhong (State Key Laboratory of Networking and Switching Technology, P.R. China)
The VANET requires fast and reliable data transmission, the multi-path transmission makes the transmission more efficient. Although there are some existing multi-path transmission control protocols, the transmission performance is still a big issue caused by the link-heterogeneity in VANET. To solve the bottleneck problem and improve the transmission efficiency, we propose a novel Network Codes-based Multi-Path transmission control protocol(NCMPTCP), which provides an efficient and reliable transmission in VANET. NCMPTCP takes advantage of network coding to eliminate the difference of data packets. Moreover, we design a redundancy control algorithm and a scheduling algorithm based on the estimated delivery time. These not only effectively reduce the transmission delay, but also make a big improvement of the throughput. Extensive simulations successfully validate our proposed protocol.

TS3-03: Cooperative Driving, Autonomous Driving, and Intelligent Vehicles

Room: K2 Room
10:30 An Intelligent Vehicular Telematics Platform for Vehicle Driving Safety Supporting System
Liang-Bi Chen (Southern Taiwan University of Science and Technology, Taiwan); Hong-Yuan Li (Southern Taiwan University of Science and Technology & Shanghai Jiao Qiao University, P.R. China); Wan-Jung Chang and Jing-Jou Tang (Southern Taiwan University of Science and Technology, Taiwan); Katherine Shu-Min Li (National Sun Yat-Sen University, Taiwan)
This paper proposes an intelligent vehicular telematics platform, which consists of an in-vehicle device connecting the CAN bus with an ODB-II bridge construction, and a mobile application software on smartphone for vehicle driving safety. The proposed platform can real-time monitor vehicular information (such as vehicle engine speed, oxygen, speed per hour, and water temperature), which can efficiently reduce major accidents occurrence ratio. Moreover, the proposed platform also provides immediate vehicle location GPS coordinates and date that can effectively help to recover the lost vehicles.
Presenter bio: Liang-Bi Chen received the B.S. and M.S. degrees in Electronic Engineering from the National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan, in 2001 and 2003, respectively, and is a Ph.D. Candidate in Computer Science and Engineering at the National Sun Yat-Sen University, Kaohsiung, Taiwan. From Aug. 2008 to Sept. 2008, he had an internship of Department of Computer Science at the National University of Singapore, Singapore. He was also a visiting researcher in Department of Computer Science at the University of California, Irvine, CA, U.S.A. during Sept. 2008 to Aug. 2009 and in Department of Computer Science and Engineering at the Waseda University, Tokyo, Japan between Jul. 2010 and Aug. 2010. Since 2012, he joined BXB Electronics Co., Ltd. as a R&D Engineer. His research interests include power-aware embedded systems design, digital audio signal processing, engineering education, and system-level design space exploration. He is a senior member of the IEEE.
Liang-Bi Chen
10:50 Computing with Words: Are we ready to "talk" to our cars?
Issam Kouatli (Lebanese American University, Lebanon)
Autonomous vehicles are mainly based on sensory devices to be able to take decisions. Some linguistic terms we use as human beings cannot be well understood by machines without implementation of some type of intelligence. Computing with words is one mechanism that allow machine to have this capability and hence allowing humans to "talk" to their cars by giving them uncertain (fuzzy) commands like "Closest parking" and "Highest speed". This paper explores the possibility of using fuzzy logic and computing with words (CWW) to allow drivers to "talk "to their cars.
11:10 Adaptive Sliding Mode Control for a Vehicle Stability System
Anh-Tuan Le and Chih-Keng Chen (Da-Yeh University, Taiwan)
This paper presents a vehicle stability controller based on an adaptive sliding mode algorithm for yielding the vehicle yaw rate and side-slip angle to track their target values. The control law is derived using the yaw dynamics of a seven-degrees-of-freedom vehicle model, allowing the smallest yaw rate error to be achieved while maintaining the reasonable limits of the side-slip angle. The effectiveness of the control system is tested under different driving conditions through computer simulation by using a CarSim vehicle model. The simulation results showed the high performance of the designed controller even under critical operating conditions.
Presenter bio: Chih-Keng Chen received his BS and MS in Mechanical Engineering from Cheng-Kung University, Tainan, Taiwan, in 1986 and 1988, respectively, and PhD in Systems and Control Engineering from Case Western Reserve University, Cleveland, USA, in 1993. He is currently a Professor in the Department of Mechanical and Automation Engineering, Da-Yeh University of Taiwan. His current research interests are vehicle dynamics, braking control, vehicle ABS and ESP control and control applications for two-wheeled vehicles.
Chih-Keng Chen
11:30 Error Bound Estimation of Cooperative Vehicle Localization Using an Integrity Concept
Jiang Liu, Bai-gen Cai, Jian Wang and Debiao Lu (Beijing Jiaotong University, P.R. China)
The cooperative vehicle localization using DSRC (Dedicated Short Range Communication) is of great significance in many future transportation applications. An overlay function has been explored with vehicular communication and it is with great potential to achieve accurate and reliable localization with certain assisted sensors like GNSS (Global Navigation Satellite System) receivers. In order to establish a solid foundation for the emergent implementations of the connected vehicles scheme, an effective error bound strategy for the filtering-based estimation in cooperative localization is concentrated. In this paper, a tight-coupling architecture for integrating the GNSS and the DSRC is investigated, and corresponding error bound estimation method is addressed. Using the integrity concept, a confidential interval-based strategy is presented to constrain the uncertainties in filter estimation, and a combination of the space alignment calibration and the additional safety margin further enhances the capability of the solution. Results of simulation demonstrate its potential for safety-related applications under the connected environments.
Jiang Liu
11:50 Methods for Certification of GNSS-based Safe Vehicle Localisation in Driving Assistance Systems
Debiao Lu (Beijing Jiaotong University, P.R. China); Federico Grasso Toro (Technische Universität Braunschweig, Germany); Bai-gen Cai (Beijing Jiaotong University, P.R. China)
Global Navigation Satellite Systems (GNSS) are now widely used in road transportation for vehicle navigation, fleet management, satellite road traffic monitoring and others, which cover 38\% of all the GNSS applications. GNSS can also be used to leverage precise and safe locations in situations with potential harm to humans or damage to a system or environment, which is called safety-related applications. A user case can be demonstrated in advanced driving assistance systems (ADAS), GNSS receiver is applied as part of the satellite-based vehicle localisation unit (SatVeLU) to deliver safe locations continuously. It is highly necessary to certify this kind of localisation unit product to make sure SatVeLU can be used in safety-related applications. This paper analyses the quantifiable characteristics for GNSS-based safe vehicle localisation performance, an UML-based formal method as attribute hierarchy is used to describe the terminologies for it. With a clear interpretation from performance concept to quantifiable characteristics and a pre-calibrated reference measurement system (RMS), the performance characteristics can be validated through the proposed validation methodology. The validation methodology involving related international standardisation organisations, governmental institutes, agencies, accreditation bodies as well as laboratories together can deliver a complete certification process. This proposed certification process will potentially enable GNSS-based safe vehicle localisation units to be certified and finally applicable for safety vehicle localisation function in road transportation.
Presenter bio: Assoc. Prof. Dr.-Ing. Debiao Lu works at faculty of Electronic and Information Engineering at Beijing Jiaotong University (BJTU) since 2015.06. Before he joined BJTU, he worked at Powertrain Electronics department at Daimler Greater China Ltd. for almost a year on safety architecture for gas pedal monitoring function. He got his doctor title at faculty of Mechanical Engineering at Technische Universität Braunschweig under the guidance of Prof. Dr.-Ing. Dr. h.c. Eckehard Schnieder in Germany between 2010 and 2014. He received the B.Sc. degree in electrical engineering and M.Sc. degree in traffic information engineering, both at Beijing Jiaotong University in China. He has been doing researches in satellite based localisation for railway applications since 2009. His research interests include GNSS safe localisation and safety relevant GNSS certification for safer transportation applications.

Friday, October 23, 13:30 - 15:30

SS0: Special Session 0 (for papers presented at summits or forums)

13:30 Privacy Preserving Driving Style Recognition
Nicholas Rizzo and Ethan Sprissler (University at Albany, SUNY, USA); Yuan Hong (Illinois Institute of Technology, USA); Sanjay Goel (University at Albany, SUNY, USA)
In order to better manage the premiums and encourage safe driving, many commercial insurance companies (e.g., Geico, Progressive) are providing options for their customers to install sensors on their vehicles which collect individual vehicle's traveling data. The driver's insurance is linked to his/her driving behavior. At the other end, through analyzing the historical traveling data from a large number of vehicles, the insurance company could build a classifier to predict a new driver's driving style: aggressive or defensive. However, collection of such vehicle traveling data explicitly breaches the drivers' personal privacy. To tackle such privacy concerns, this paper presents a privacy-preserving driving style recognition technique to securely predict aggressive and defensive drivers for the insurance company without compromising the privacy of all the participating parties. The insurance company cannot learn any private information from the vehicles, and vice-versa. Finally, the effectiveness and efficiency of the privacy-preserving driving style recognition technique are validated with experimental results.
13:50 A Framework for Vehicular Cloud Computing
Hossam S. Hassanein (Queen's University, Canada); Sherin Abdelhamid (Ain Shams University & Queen's University, Egypt); Khalid Elgazzar (Carnegie Mellon University, USA)
With the abundant on-board resources in smart vehicles, they have been considered major candidates for providing ubiquitous services. Processing and storage resources provided through on-board units along with a variety of sensing and communication capabilities can turn smart vehicles into potential computing engines that can be pooled to serve as powerful vehicular clouds (VCs). Computing tasks can be assigned to dynamically-formed VCs supporting a wide scope of ICT applications. In this paper, we introduce a framework for vehicular cloud computing. This framework aims at providing an inclusive architecture to manage the whole operation of a VC through different layers/types of controllers. Preliminary results are presented showing some of the benefits of utilizing vehicular cloud computing.
Presenter bio: Hossam Hassanein is a leading authority in the areas of broadband, wireless and mobile networks architecture, protocols, control and performance evaluation. His record spans more than 500 publications in journals, conferences and book chapters, in addition to numerous keynotes and plenary talks in flagship venues. Dr. Hassanein has received several recognition and best papers awards at top international conferences. He is the founder and director of the Telecommunications Research (TR) Lab at Queen's University School of Computing, with extensive international academic and industrial collaborations. Dr. Hassanein is a Fellow of the IEEE, and is the past chair of the IEEE Communication Society Technical Committee on Ad hoc and Sensor Networks (TC AHSN). He is an IEEE Communications Society Distinguished Speaker (Distinguished Lecturer 2008-2010).
Hossam S. Hassanein

TS1-05: Wireless Communications and Vehicular Networking

Room: K1 Room
13:30 Crash Warning for Intersection and Head-on Car Collision in Vehicle-to-Vehicle Communication
Hayami Ito (Tokyo Institute of Technology, Japan); Tutomu Murase (Nagoya University, Japan); Kenta Wako and Sasajima Kazuyuki (Tokyo Institute of Technology, Japan)
This paper investigates performance of reception frequency in IEEE802.11p frame that includes vehicle information such as location and velocity of vehicles. It is important for Crash warning application to receive enough number of information in enough prior time to potential crash. Both low sending frequency and high sending frequency results in low reception frequency because of nature of CSMA/CA. Thus, it is desired to the find optimal number of vehicles with optimal sending frequency. This paper considers capture effect to evaluate reception frequency although previous studies used average reception frequency because it has more reality and will show more optimistic performance results than ever evaluated. The reception frequency is evaluated in two performance measures; the number of reception frequency in a second and the number of duration in which the number of the frequency is larger than the specified value. Intersection car collision case as well as Head-on car collision case are employed because Intersection case seems popular in car collisions and Head-on case is the most severe condition for the application. As a result, in Head-on case the maximum number of vehicle that could achieve specified reception frequency were about 150, and in Intersection case the maximum number were about 200. Intersection case has much longer duration that achieved specified reception frequency than Head-on case.
13:50 Infrastructure-assisted Efficient Broadcasting in Hybrid Vehicular Networks
Zeeshan Hameed Mir (Higher Colleges of Technology (HCT), United Arab Emirates); Jaebeom Kim (Korea Power Electric Company (KEPCO), Korea); Fethi Filali (QMIC, Qatar); Young-Bae Ko (Ajou University, Korea)
Transmission power adaptation has been widely employed to improve on the network performance. However designing an adaptation technique that could lower the number of collisions and delay under unreliable connectivity and fast topological changes due to high speed vehicles is a challenging task. In this paper we proposed an efficient broadcasting scheme using transmission power adjustment. There are two main contributions. Firstly, a multi-tiered architecture is described for hybrid vehicular networking. Offloading control message exchange among vehicles from vehicle-to-vehicle (V2V) to vehicle-to-infrastructure (V2I) can potentially results in better overall performance. Secondly, a centralized transmission power adaptation technique is proposed. By taking in to account the current topology state, contextual information of vehicle movement is derived in terms of estimated link expiration time. Each vehicle is then assigned a transmission power which ensures connectivity with long lasting links only. A simulation based performance evaluation study shows that the proposed power adaptation technique results in significantly lower packet collision rate and delay while maintaining a shorter average transmission range.
14:10 Smartphone based Driver Assistance System for Coordinated Lane Change
Remya Murugesh (Amrita University, India); Nirmala Vasudevan (Amrita Viswha Vidyapeetham University, India); Ullas Ramanadhan (Amrita University, India); Alin Devassy Ananyase (Robert Bosch(RBEI) & Amrita Center for Wireless Networks and Applications, India); Dilip Krishnaswamy (IBM Research, India); Anand Ramachandran (Amrita University, India)
Changing lanes while driving is one of the primary causes of accidents on highways. Changing lanes is a complex, voluntary maneuver that requires a driver of a vehicle to assess the traffic in the original and target lanes, the adjacent drivers' disposition, as well as the time available to complete the maneuver before undertaking the maneuver. Existing techniques use V2V communication that relies on the IEEE 802.11p WAVE standard which has not been adopted widely because, (1) the requirement of a separate on-board unit makes this choice expensive, and (2) the variation in spectral bands of DSRC in different countries makes deployment cumbersome. The proliferation of the smartphone with its myriad sensors and ability to communicate directly with other smartphones in an Ad-Hoc network allows us to use them in lieu of standard V2V communication. When a driver wants to change lanes, the driver's smartphone broadcasts its intent and the vehicle's movement parameters to the vehicles nearby using WiFi-Direct. The adjacent vehicles respond with their motion and location parameters allowing the first vehicle to cooperatively and safely perform a lane change maneuver. We postulate that if such a system is implemented, it is likely to be adopted and used. This system can also act as a bridge to future 802.11p based systems, when smartphones' WiFi can use DSRC.
14:30 An Energy-Optimal Offloading Algorithm of Mobile Computing Based on HetNets
Shiwei Cao, Xiaofeng Tao, Yanzhao Hou and Qimei Cui (Beijing University of Posts and Telecommunications, P.R. China)
The insufficiency of battery lifetime has become the biggest limited of mobile smart-terminal, offloading of mobile computing is a potential effective method to extend the battery lifetime of mobile smart-terminal by executing some computation of applications in remote servers. However, the delay of transmission and the wireless transmission conditions are the main constraints of mobile offloading. The development of HetNets (Heterogeneous Networks) brings high speed and convenient wireless access, which will make the mobile computing offloading more easy. In this paper, the offloading of mobile computing is discussed based on HetNets, and an energy-optimal offloading algorithm of mobile computing is proposed to achieve the maximum saving energy of the mobile terminal under the requirement of given application execution time. First, the mathematical model of the mobile computation offloading is given. The optimal algorithm based on Combinatorial Optimization can get the optimal saving energy and the energy saving of it in the simulation is bounced around 43%. The performance of suboptimal algorithm is very close to the optimal solution but the time complexity is just O(N). Simulation results also show the performance of different algorithms and relation between saving energy and different wireless conditions.
14:50 Applications, Limitations, and Improvements in VLC Systems
Fazlullah Khan (Abdul Wali Khan University, Pakistan)
Wireless communication networks using unlicensed frequency band faces certain challenges like unrestrained interfering and bad quality of transmission. To surmount the scarcity of frequency band, a new technique for wireless communication is compulsory to adapt the exponentially rising wireless communication demand. Visible light communication systems (VLCS) offer a replacement to the existing standards of wireless communication, through light from light-emitting diodes (LEDs) as the mean of communication. As LEDs twinkle repeatedly at a high speed such that human eye cannot perceive changes in light intensity, but a perceptive photodiode detect the on-off attitude and can interpret the data implanted within the light. This paper investigates different issues in the existing wireless communication networks, and studies how VLCS can resolve these issues, and proposes design of the VLCS. Moreover, applications, solution to current issues and future improvements are discussed in this paper
Presenter bio: I am a student researcher.

TS4-01: Intelligent Transportation, Electrified Transportation, and Smart Cities

Room: K2 Room
13:30 Win-Fit: Efficient Intersection Management via Dynamic Vehicle Batching and Scheduling
Guang Chen and Kyoung-Don Kang (State University of New York, Binghamton, USA)
Intersection management is one of the most challenging tasks in traffic control. In this paper, to significantly decrease the average delay for autonomous vehicles to cross an intersection without any collision, vehicles are dynamically grouped and a selected winner group is allowed to drive through the intersection as one batch unlike most existing approaches, which only schedule individual autonomous vehicles one by one. Further, certain vehicles in the non-winner groups are allowed to safely cross the intersection during idle time slots (if any) unused by the winner group to further decrease the delay. Our approach has the lower-bound time complexity, and decreases the average trip delay to cross a simulated intersection by 31% - 95% compared to several state-of-the-art baselines.
13:50 Estimate of Fuel Consumption and GHG Emission Impact on an Automated Mobility District
Yuche Chen and Stanley Young (NREL, USA); Xuewei Qi (University of California at Riverside, USA); Jeff Gonder (NREL, USA)
This study estimates the range of fuel and emissions impact of an automated-vehicle (AV) based transit system that services campus-based developments, termed an automated mobility district (AMD). The study develops a framework to quantify the fuel consumption and greenhouse gas (GHG) emission impacts of a transit system comprised of AVs, taking into consideration average vehicle fleet composition, fuel consumption/GHG emission of vehicles within specific speed bins, and the average occupancy of passenger vehicles and transit vehicles. The framework is exercised using a previous mobility analysis of a personal rapid transit (PRT) system, a system which shares many attributes with envisioned AV-based transit systems. Total fuel consumption and GHG emissions with and without an AMD are estimated, providing a range of potential system impacts on sustainability. The results of a previous case study based of a proposed implementation of PRT on the Kansas State University (KSU) campus in Manhattan, Kansas, serves as the basis to estimate personal miles traveled supplanted by an AMD at varying levels of service. The results show that an AMD has the potential to reduce total system fuel consumption and GHG emissions, but the amount is largely dependent on operating and ridership assumptions. The study points to the need to better understand ride-sharing scenarios and calls for future research on sustainability benefits of an AMD system at both vehicle and system levels.
14:10 Preliminary Evaluation of Field Testing on Eco-Approach and Departure (EAD) Application for Actuated Signals
Peng Hao (Center for Environmental Research & Technology, University of California, Riverside, USA); Guoyuan Wu, Kanok Boriboonsomsin and Matthew J Barth (University of California, Riverside, USA)
Prior studies have shown that tangible environmental benefits can be gained by communicating the driver with the signal phase and timing (SPaT) information of the upcoming traffic signal with fixed time control. However, similar applications to actuated signals pose a significant challenge due to their randomness to some extent caused by vehicle actuation. Based on the framework previously developed by the authors, a preliminary real-world testing has been conducted to evaluate the system performance in terms of energy savings and emissions reduction. Four scenarios that covers most of traffic and signal conditions are evaluated. For each scenario, we vary the entry time and speed to thoroughly investigate the performance of the developed Eco-Approach and Departure (EAD) system. It turns out that the EAD system saves 5%-10% energy for high entry speed, and 7%-26% energy for low entry speed. That results is compatible with the simulation results and validate the previously developed EAD framework.
14:30 Accurate Vehicle detection and counting algorithm for traffic data collection
Ye Tian, Yangli Wang and Rui Song (Xidian University, P.R. China); Huansheng Song (Chang’an University, P.R. China)
Number of vehicles on road is very important traffic data and is essential for transportation safety and management. In this paper, an approach for vehicle detection is presented. In this approach, virtual line based sensors which are just straight detection lines are first set on road lanes. Then two features, namely gradient and range feature, are proposed for vehicle detection. This is carried out by extracting and analyzing the two features on detection lines. Meanwhile, the solution for vehicle occlusion have also been proposed. Our proposed method has an outstanding advantage that it performs excellent in traffic jams as well as under various conditions, such as sunny, cloudy, and rainy days, or night time, or even tunnels with complex illumination. The high accuracy rate of our method is verified with the experiment results.
Presenter bio: Ye Tian received the B.S. degree from Xidian University in 2014. He is currently a Master degree student at the State Key Laboratory of Integrated Service Networks of Xidian University. His search interests are in fields of image processing, image recognition and ITS.
Ye Tian
14:50 S-Road Assist: Road surface conditions and Driving Behavior analysis using Smartphones
Harit Sharma (Samsung R & D Institute India, Bangalore, India); Ravikanth Reddy (Samsung R&D Institute India Bangalore Pvt. Ltd., India); Sulochan Naik (Software Engineer at Samsung Research Institute Bangalore, India)
In developing countries road quality is not very good and deteriorates quickly, this makes a system which can detect road irregularities and notify user regarding risky driving in real-time, valuable. Moreover, fleet operators would like to ensure safe trips to their customers. This can be accomplished by tracking and maintaining a history of the driving patterns of the drivers employed by them. Further, individuals would also like to assess their driving style and become safe drivers. In this regard, a cost effective solution for detecting road artefacts as well as tracking the driving behavior of drivers using smartphones has been developed. The solution relies on the sensors installed on the smartphone only thereby making it cost effective. Although the system does not use commercial grade sensors, yet our accuracy numbers indicate that the solution is good enough for commercial deployment.
Presenter bio: Ravikanth Reddy received M.Tech degree in Digital Signal Processing from IIT-Madras. He is currently working with Samsung R&D Institute, Bangalore for Connected Car Technologies.

Friday, October 23, 15:50 - 17:50

SS1: Special Session 1 (for papers presented remotely)

15:50 Severity Assessment of Anomalies using Driving Behaviour Signals
Suttipong Thajchayapong (NECTEC, Thailand); Chalermpol Saiprasert (National Electronics and Computer Technology Center, Thailand); Chularat Tanprasert (National Electronics and Computer Technology Center (NECTEC), Thailand); Chayakrit Charoensiriwath (National Electronics and Computer Technology Center, Thailand)
This paper reports an ongoing development of an algorithm for severity assessment of road anomalies using only driving behaviour signals. This algorithm is to be used in an active safety system where severity assessment operates in a distributed manner, i.e. at the leading vehicle that encounters an anomaly. Based on real-world 1,300 braking signals collected from 52,000 users, it is shown that braking signals themselves can be clustered according to their duration and magnitude. These preliminary results demonstrate that it is feasible to cluster severity using driving behaviour signals.
16:10 Hybrid Electric Vehicles: An Overview
Mohammad Kebriaei and Abolfazl Halvaei Niasar (University of Kashan, Iran); Behzad Asaei (University of tehran, Iran)
The studies for hybrid electrical vehicle (HEV) have attracted considerable attention because of the necessity of developing alternative methods to generate energy for vehicles due to limited fuel based energy, global warming and exhaust emission limits in the last century. HEV incorporates internal composition engine, electric machines and power electronic equipment. In this paper, an overview of HEVs is presented. In fact, we aim to introduce the HEVs and present their history, advantages, disadvantages, classification, vehicle types, energy management strategies and some other related information. The methodology used in this paper is descriptive, library and analytical. The descriptive aspect of this paper is based on identification and definitions and its required materials and information have been complied using related scientific papers.
16:30 A Unified Energy Efficiency and Spectral Efficiency Tradeoff for mobile cloud computing in OFDM-based networks
Cong Niu (Zheng Zhou University, P.R. China); Shouyi Yang, Fang Wang and Bing Ning (Zhengzhou University, P.R. China)
Cloud computing can enhance the computing capability of mobile systems. However, offloading is not always energy-saving compared to local computation. In order to further improve the battery lifetime, trade-off between energy efficiency and spectral efficiency in transmitting is considered, we propose a transmission strategy to decide whether to offloading or not. This strategy focuses on the energy efficiency (EE)-spectral efficiency (SE) tradeoff to make more effective use of the limited resources. Compared to previous studies about the tradeoff between EE and SE, the objective of this paper treats EE and SE as one joint optimization function. constraint condition. We firstly prove the properties of RE in orthogonal frequency division multiplexing (OFDM)-based networks and derive its optimal solution, then apply this optimization strategy in cloud computing. Simulation results confirm the analytical properties and show the advantage of tradeoff scheme compared with EE-based or SE-based design.
16:50 Tracking Control of Nonlinear Singular Vehicles with Markov Switching Topologies
Ligang Wu and Ge Guo (Dalian Maritime University, P.R. China)
This paper investigates tracking control of vehicular ad hoc networks (VANETs) with random switching topologies. The network topology by which the vehicles communicate with each other at any time is a directed graph (or digraph) with a spanning tree. The switching of topology is governed by a Markov chain. A set of distributed switching controllers for tracking control is derived in the context of stochastic stability analysis of Markovian jump systems. The obtained control protocol is topology-aware and hence applicable to VANETs with Markov switching topology. A experiments with Arduino cars show the efficiency of the proposed methods.
17:10 Platoon control with communication network constraints
Ligang Wu and Ge Guo (Dalian Maritime University, P.R. China)
This paper investigates the communication effect of the platoon control system, such as communication delays, packet dropouts and disorders. Here, the communication delays and packet dropouts problems are merged into the random distributed input delays problem. In order to solve the above problems, a novel data processing mechanism is proposed by building a Smart Data Processor (SDP). Base on the leader-predecessor-follower strategy, every following vehicle in the platoon system can select the latest data packets of the leader vehicle from the logic Data Packet Processor , obtained the current state information of its directly preceding vehicle by radar and matched the corresponding data from its Buffer. Base on the above structure, the platoon control problem transforms into a multi-objective H_∞-type synthesis problem with the random distributed time-varying delays. By employing the multi-objective H_∞-type synthesis, the asymptotic and string stability of the platoon system can be guaranteed. Then, the controller gain is derived by the linear matrix inequality (LMI). A experiments with laboratory scale Arduino cars show the efficiency of the proposed methods.
17:30 An adaptive multi-channel operation mechanism based on data transmission in WAVE system
Liang Kangnan, Huabaio Qin and Jinglin Yang (SouthChina University, P.R. China)
In order to solve the problem of low channel utilization of original multi-channel operation in VANET, an adaptive multi-channel operation mechanism is proposed considering the completion situation of the data transmission. The nodes will keep on the service channel (SCH) for transmitting and not switch onto the control channel (CCH) until there is collision or WAVE short message. It can improve the average effective data transmission and decrease the access delay by increasing the SCH interval. And the simulation results show that, compared with the original mechanism, the proposed mechanism has better performance in channel utilization, throughput and reduction of average delay of network.
17:50 Internet of Vehicles for Smart and Safe Driving
Dhananjay Singh (Hankuk University of Foreign Studies, Korea); Madhusudan Singh (Yonsei Institute of Convergence Technology & Yonsei University, Korea)
Last few years, smart city related projects are evolving rapidly and users are shifting from local servers to community data centers. Therefore, automotive markets are desperately in need of solutions that can improve safety of driving, security of vehicles as-well-as need to reduce the cost of ownership of an automobile. In this paper we specify, connected vehicle architecture solutions for both safe and smart driving in personal/public vehicles. The idea is to utilized Internet of vehicle's dashboard camera (Smart-Eye) with On-Board Driving (OBD) devices to enhance the control and accident prevention/monitoring services. The smart-Eye has capability to capture and share their real-time accident/traffic footage into text, audio and video forms to the related authorities such as nearest vehicles, police staff, hospital, family members and insurance company instantly along with the location. Hence, the Smart-Eye solutions can support automotive markets for smart and safe driving.
18:10 Secure Cloud Networks for Connected & Automated Vehicles
Madhusudan Singh (Yonsei Institute of Convergence Technology & Yonsei University, Korea); Dhananjay Singh (Hankuk University of Foreign Studies, Korea); Antonio J. Jara (HES-SO, Switzerland)
An intelligent transportation management system is rapidly evolving. Nowadays, the convergence of ICT (Information communications technology) and cloud computing are widely adaptation among many services. The automobile industry has great expectations from these futuristic solutions so that they can improve safety of people, security of vehicles as well as reduce the cost of ownership of an automobile. This paper presents connected vehicles architecture solutions for both safe and secure driving for personal/public vehicles. And also paper has shown the performance of the secure cloud networks from that every driver (client) update real-time information for self-aware. The concept of penetration testing and vulnerability assessment are used to analysis the transportation data in real-time computing such as traffic, weather, accident prevention/monitoring and access control.
18:30 Charging infrastructure for EVs in Beijing
Andreas Hecker (Humboldt University, Germany); Rene Wies (BMW China Services Ltd, P.R. China)
This paper deals with the charging infrastructure for EVs in Beijing. By analyzing GPS and vehicle data from 38 real customers, a first statement could be worked out: Most customers drive, park and charge within the sixth ring road, charge at home and approach the same districts during the test duration. Additionally, different types of districts in Beijing generate various charging options. Especially the semi-public and private charging network could handle most of the user cases.

TS5-01: Emerging Technologies and Applications for Next-Generation Transportation

Room: K1 Room
15:50 Practical Research of RT-Middleware in Intelligent Vehicles
Takeki Ogitsu (Tokyo University of Science & Faculty of Science and Technology, Japan); Hiroshi Mizoguchi (Tokyo University of Science, Japan)
The robotization of vehicles has accelerated in recent years. Although the automobile field previously placed importance on the research and development of hardware, that of software has recently been more important. Standardization, generalization, and renewability are needed for efficient research and development of software. However, software platforms for research and education are not sufficiently developed, especially in the automobile field. This study aims to develop a software platform specialized for research on intelligent vehicle systems or for efficient learning, based on robotics technology (RT)-middleware developed for robotics. We propose a software module for intelligent vehicle systems using OpenRTM-aist, which is a reference implementation of RT-middleware, and then validate its usability. In this paper, the importance of applying RT-middleware in the automobile field is explained, and achievements regarding the development of the software module development are discussed.
16:10 Analyzing Accuracy of GPS Data for Vehicular Parameters
Gaurav Sood, Jordan Willis and Arunita Jaekel (University of Windsor, Canada); Shaik Nazeer and Dominic Paulraj (Arada Systems Inc, Canada)
Currently, most vehicular parameters, such as speed acceleration and heading, are obtained from GPS data. In this paper our goal is to investigate an alternate source of vehicular information for collision avoidance systems and driver assistance applications, which is more accurate, reliable and has significantly lower time lag. We have implemented an architecture, which enables us to read, analyze, decode and store the real-time vehicular data from the vehicle's electric sensors. We have also presented and analyzed experimental data showing the errors in vehicular speed obtained from GPS readings, under different driving conditions.
Presenter bio: Arunita Jaekel obtained her B. Engg. degree in electronics and telecommunications engineering from Jadavpur University, India. She received her M. A. Sc. and Ph.D. in electrical engineering from University of Windsor, Canada. She is currently a Professor in the School of Computer Science at University of Windsor. Her research interests include WDM ntworks, survivable topology design, and vehicular networks.
16:30 Cooperative Control and Smart Procurement Of Naturally Generated Energy (SPONGE) for PHEVs
Florian Häusler (Fraunhofer FOKUS, Berlin, Germany); Yingqi Gu and Wynita Griggs (University College Dublin, Ireland); Emanuele Crisostomi (University of Pisa, Italy); Ilja Radusch (Fraunhofer FOKUS & Daimler Center for Automotive IT Innovations (DCAITI), Germany); Robert Shorten (IBM, Ireland)
Electric vehicles can potentially be the best means of transportation for improving air quality, provided that they are powered by electricity from natural gas or wind, water or solar power. In this paper we describe a simple cooperative algorithm that exploits the energy management units of Plug-in Hybrid Electric Vehicles (PHEVs) to absorb the expected forthcoming energy available from renewable sources. The proposed approach bridges the gap between mobility patterns and power grid constraints, and allows to prevent green energy from being wasted while at the same time reducing the complexity burden of the power grid to charge unexpected loads of electric vehicles. Simulation results are given to show the efficacy of the proposed method.
Presenter bio: Yingqi received her B.E. degree in Electronic Engineering (first class honours) from Maynooth University in 2013. She obtained her M.Sc degree in Signal Processing and Communications at School of Engineering, University of Edinburgh in 2014. From February 2015, she commenced her Ph.D. degree in the University College Dublin with Prof. Robert Shorten. Her current research interests are modelling, simulation and optimisation of intelligent transportation systems.
16:50 A Study on Driver Training on Advanced Driver Assistance Systems by Using a Driving Simulator
Takeki Ogitsu (Tokyo University of Science & Faculty of Science and Technology, Japan); Hiroshi Mizoguchi (Tokyo University of Science, Japan)
Advanced driver assistance systems (ADASs) are making continuous progress in order to solve issues in vehicle traffic. However, drivers cannot adjust to these advances, because ADAS can assist even complicated driving behaviors that require higher skills. The more advanced the driving interactions ADAS can perform, the more risk the system may have when used by drivers who have insufficient knowledge of the system. Thus, it is important to establish teaching or training methods, which enable drivers to become educated about ADAS. In this study, we developed a driving simulator for teaching or training drivers. Using the driving simulator, the drivers can make the most of ADAS, the use of which will become more widespread and advanced. In this paper, the importance of teaching and training for driver is explained first. Details of the driving simulator developed in this study are then described. Finally, the results of the simulation development are summarized.
17:10 Declarative Cyber Physical Systems Modeling to Facilitate Autonomous Vehicles Design
Wei Ding, Feng-Jen Yang and Sesha Srinivasan (Florida Polytechnic University, USA)
Major challenges faced by connected intelligent vehicles, particularly autonomous vehicles, include complexity, dynamics, concurrency, timing, safety, security, and reliability, with complexity as the key in their design. Cyber-physical systems (CPSs) are a systems consisting of cyber elements, i.e. computational components, and physical elements. We argue that the essential factors to tackles above challenges can be articulately modeled through the declarative CPS framework proposed in this paper. A CPS is made up of sensing units in physical environment that input physical signals to control units, actuation units that alter the physical environment, and control units that sends optimized control signals to actuation units. The declarative CPS model can be used to unify the design of both cyber and physical components. This paper also compares the performance of two declarative networking implementations for CPS sensing and actuation units.
Presenter bio: Wei Ding is an Associate Professor of Computer Science and IT at the Florida Polytechnic University. He received PhD and MS in CS from Louisiana State University and University of Science & Tech of China, respectively. He is an IEEE senior member and a member of ACM, IEEE Communication Society, and IEEE Computer Society. He was a software engineer in China before coming to US for PhD. His recent research involved sensor networks, network security, cyber-physical systems, future Internet, and Internet of things. He has published two books, five book chapters, and many peer reviewed journal and conference papers. He is the first author for majority of his publications. He has served as TPC member for IEEE WCNC 2014-15, IEEE GLOBECOM 2009-14, IEEE WiMOB 2011-14, IEEE ICC 2011-14, IEEE ICNC 2012-14, ICPDPA 2014, IWCMC 2013-14, IEEE/IFIP EUC 2013, etc. He also served as reviewer for IEEE Transactions on Mobile Computing, IEEE Communication Letters, etc.
Wei Ding

TS4-02: Intelligent Transportation, Electrified Transportation, and Smart Cities

Room: K2 Room
15:50 Multi-Mode Electronic Vehicle Identification in the Scene of Multi-Lane Free Flow
Li Wang, Sheng Tao, Hai Lin, Chunli Li, Wei Zhang and Liyong Liu (China Academy of Transportation Sciences, P.R. China)
For the purpose of identifying as much as possible vehicles by means of short range vehicle-roadside communication, a kind of integrated multi-mode roadside unit (RSU) is proposed and designed to access 800/900 MHz passive, 2.4 GHz active, and 5.8 GHz semi-active onboard units. Furthermore, we present a deploying scheme of the RSUs in the scene of multi-lane free flow so as to realize comprehensive transportation information collection based on electronic vehicle identification.
Presenter bio: Li Wang is currently an Associate Professor at China Academy of Transportation Sciences. He received his PH.D degree in electronic engineering from Beijing Jiaotong University in 2011, majored in communication and information system. He has been researching on Internet of things used in Intelligent transportation system, such as wireless sensor network, connected vehicles, electronic vehicle identification.
Li Wang
16:10 Distributed Power Control Evaluation of Hard-Link-Type Mobility Using Velocity and Load Data
Tokunosuke Ikegami (Tokyo University of Science, Japan); Takeki Ogitsu (Tokyo University of Science & Faculty of Science and Technology, Japan); Hiroshi Mizoguchi (Tokyo University of Science, Japan)
In this study, as a new form of mobility for single-seat cars, we realize "hard-link-type mobility" using a mechanical coupling device. This form of mobility makes it possible to connect or disconnect the vehicles as necessary. When the vehicles are coupled, the driver of the following vehicle does not need to drive because the vehicle follows the leading vehicle semi-automatically. Therefore, it is expected that this form of mobility will serve as an effective mode of transport in areas lacking in good public transport systems. For hard-link-type mobility to be effective, it is desirable that the load on the coupling device be as low as possible. Therefore, we have previously proposed a vehicle control system that reduces the load acting on the device. However, this system has been evaluated using only velocity data. Therefore, in this study, the system is evaluated more quantitatively using load data, which are obtained using a load cell mounted on the coupling device.
16:30 A Markov-chain Based Model for a Bike-Sharing System
Emanuele Crisostomi (University of Pisa, Italy); Mahsa Faizrahnemoon (Hamilton Insitute, Ireland); Arieh Schlote (National University of Ireland, Maynooth, Ireland); Robert Shorten (IBM, Ireland)
Bike-sharing systems are recently becoming ubiquitous in most cities, as an environmentally friendly alternative to other means of transportation. An optimal management of the bike-sharing service would in principle benefit from the availability of a mathematical model underlying the system. Accordingly, in this paper we propose a Markov-chain based approach to model the bike-sharing system, which we believe has a potential to develop alternative methods to implement classic control actions in a bike-sharing system (e.g., in terms of implementing alternative relocation strategies or planning advertising campaigns). The proposed methodology is validated on real data from the bike-sharing system in Boston, USA, and a first application of the proposed model is preliminarily illustrated in the paper.
Presenter bio: Emanuele Crisostomi graduated with honours in "Automation Engineering" and received a PhD in "Automation, Robotics and Bioengineering", all from University of Pisa. He has been a visiting PhD at University of Cambridge and at University of Leicester in the UK, and a visiting Researcher at the Hamilton Institute, at the National University of Ireland Maynooth (NUIM). From December 2011, he is assistant professor of Electrical Engineering at the Department of Energy, Systems, Territory and Constructions Engineering, University of Pisa. His research interests include analysis and filtering of nonlinear dynamical systems, Lyapunov stabilisation of uncertain systems, smart grid control and management, urban network traffic modeling and control and electric vehicles' charging and routing algorithms.
16:50 Developing and Evaluating an Eco-Speed Harmonization Strategy for Connected Vehicles
Guoyuan Wu (University of California, Riverside, USA); David Kari and Xuewei Qi (University of California at Riverside, USA); Kanok Boriboonsomsin and Matthew J Barth (University of California, Riverside, USA)
As an active traffic and demand management (ATDM) strategy that has been implemented for decades, speed harmonization may improve traffic flow by regulating traffic speed upstream of bottlenecks. In this paper, we propose a new speed harmonization strategy with a focus on environmental factors, called eco-speed harmonization (ESH). ESH takes advantage of individual vehicle's real-time information via Connected Vehicle (CV) technologies to reduce energy and environmental impacts of vehicular traffic. Simulation studies based on a complex real-world network have shown that the introduction of the proposed ESH strategy with full CV technology penetration can reduce energy consumption by up to 4 percent and criteria pollutant emissions (e.g., fine particles) by up to 17 percent, depending on the level of traffic congestion. Sensitivity analyses indicated that energy and emissions reduction benefits will decrease as the CV technology penetration rate decreases.
17:10 Integrated transportation and power system modeling
Dominik Ascher and Georg Hackenberg (Technische Universität München, Germany)
Undesired impacts on the power system caused by electric vehicles (EVs) remain a major challenge that needs to be addressed to guarantee their safe widespread adaption. In this context, efficiently balancing power demand within power grids represents a fundamental issue of vehicle-to-grid (V2G) applications of EV. Here, existing modeling approaches cover only a limited set of features required to achieve integrated multi-objective transportation and power system modeling. In this paper, we investigate an approach for integrated modeling of transportation and power systems, emphasizing microscopic models of electric devices within the power system and individual cars on the traffic network which make up the transportation system. The approach allows for rapid variation and evaluation of scenarios of both transportation and power systems by varying their configuration, composition and underlying objectives. We apply our approach to different incremental small-scale V2G example scenarios. Obtained simulation results show the feasibility of the approach in terms of the employed modeling technique. Based on simulation results, we conclude with an evaluation of our approach with respect to it's validity, novelty, efficiency and applicability.
Presenter bio: Dominik Ascher received his B.Sc. degree in Information Systems in 2013 and is currently pursuing the M.Sc. degree in Information Systems at Technical University of Munich. From 12.2013 he has been with the Department of Software & Systems Engineering at Technical University of Munich.
Dominik Ascher

Friday, October 23, 21:00 - 23:59

TS9-01: Remote PresentationsDetails

Room: WebEx

WebEx link:https://meetings.webex.com/collabs/meetings/join?uuid=M0441WIS74XM8YFGG0Q6E0HQL3-4O2

21:00 Smartphone based Driver Assistance System for Coordinated Lane Change
Remya Murugesh (Amrita University, India); Nirmala Vasudevan (Amrita Viswha Vidyapeetham University, India); Ullas Ramanadhan (Amrita University, India); Alin Devassy Ananyase (Robert Bosch(RBEI) & Amrita Center for Wireless Networks and Applications, India); Dilip Krishnaswamy (IBM Research, India); Anand Ramachandran (Amrita University, India)
Changing lanes while driving is one of the primary causes of accidents on highways. Changing lanes is a complex, voluntary maneuver that requires a driver of a vehicle to assess the traffic in the original and target lanes, the adjacent drivers' disposition, as well as the time available to complete the maneuver before undertaking the maneuver. Existing techniques use V2V communication that relies on the IEEE 802.11p WAVE standard which has not been adopted widely because, (1) the requirement of a separate on-board unit makes this choice expensive, and (2) the variation in spectral bands of DSRC in different countries makes deployment cumbersome. The proliferation of the smartphone with its myriad sensors and ability to communicate directly with other smartphones in an Ad-Hoc network allows us to use them in lieu of standard V2V communication. When a driver wants to change lanes, the driver's smartphone broadcasts its intent and the vehicle's movement parameters to the vehicles nearby using WiFi-Direct. The adjacent vehicles respond with their motion and location parameters allowing the first vehicle to cooperatively and safely perform a lane change maneuver. We postulate that if such a system is implemented, it is likely to be adopted and used. This system can also act as a bridge to future 802.11p based systems, when smartphones' WiFi can use DSRC.
21:20 Vehicular Collision Avoidance Using Video Processing and Vehicle-to-Infrastructure Communication
Road intersections, without signal lights, especially those with walls or other objects that block the driver's view, are a major traffic safety hazard. A significant number of accidents happen at these intersections. The risk factor is further aggravated by the presence of animals or pedestrians which is a common occurrence in developing countries such as India. In our proposed research, we aim to provide early warning to drivers at intersections to help them avoid possible collisions. This can be achieved with the help of a low-cost camera unit combined with special hardware for image capture/processing and Vehicle-to-Infrastructure (V2I) communication. Therefore, when an object on a collision path, such as a motor vehicle, pedestrian, or animal is detected by the system, a warning is issued to the nearby vehicles enabling drivers to react to critical situations quickly and effectively.
21:40 Collision Avoidance at Intersections Using Vehicle Detectors and Smartphones
Akhil M (Amrita University, India); Nirmala Vasudevan (Amrita Viswha Vidyapeetham University, India); Ullas Ramanadhan (Amrita University, India); Alin Devassy Ananyase (Robert Bosch(RBEI) & Amrita Center for Wireless Networks and Applications, India); Dilip Krishnaswamy (IBM Research, India); Anand Ramachandran (Amrita University, India)
Traffic accidents are the leading cause of deaths for people aged 15 to 29 and the eighth leading cause of deaths globally. Accidents at intersections are common, since vehicles approaching the intersection are not always visible to one another. Conventional methods, such as the use of traffic lights, and newer solutions that make use of GPS and VANET are not particularly effective in India for reasons of adaptability, accuracy, cost and availability. Our solution promises to be both inexpensive and effective in India. We propose to install a few inexpensive vehicle detectors (VDs) near intersections. When a vehicle approaches the intersection, it will pass the VDs sequentially which will then transmit their unique IDs to a smartphone in the vehicle. The smartphone will transmit the VDs' IDs and relevant kinematic data to a base station at the intersection. Thus, the base station can accurately compute the times when vehicles are expected at the intersection. In the event of a potential collision, the base station will transmit a warning to the smartphones of the concerned drivers.
22:00 An Extensible Simulation Framework for Evaluating Centralized Traffic Prediction Algorithms
Michael Wisely, Ali Hurson and Sahra Sedigh Sarvestani (Missouri University of Science and Technology, USA)
Due to the increasing popularity of smartphones and in-dash navigation equipment, traffic data gathered by mobile devices has grown in popularity as a basis for predicting traffic conditions. Mobile devices submit location information to a central server, where future traffic conditions are computed. Because this type of system would be expensive to test with real drivers, algorithms for road traffic prediction are often evaluated according to the outcomes of simulations. These simulations frequently use the same types of vehicle data to model the flow of traffic. Based on the observation that these algorithm simulators share common functionality, we have developed a framework to facilitate the rapid development of simulators for traffic prediction. Using our framework, developers can quickly implement traffic prediction simulators with included data processing and visualization features. To date, we have utilized the framework in creating two separate simulators for influence-aware predictive density queries and naive density queries, respectively.
Presenter bio: Michael Wisely received B.S. degrees in Computer Science and Computer Engineering from the Missouri University of Science and Technology in 2012. He is currently a Ph.D. candidate in Computer Science at Missouri S&T, where he is a GAANN Fellow and a Chancellor's Fellow. His research interests include traffic modeling and distributed computing. Michael is a member of IEEE and ACM.
Michael Wisely