A Fog Computing-Based Model for Mitigation of Traffic Congestion
Omer Khan, Ahmmed Ibrahim and Rustom Mamlook (Dhofar University, Oman)
Fog computing enables processing at the edge, while still offering the possibility to interact with the cloud. The massive amounts of data produced from connected applications, as well as the latency-critical issue have motivated researchers to adopt fog computing technology. Development of an effective and reliable traffic system has always been a worldwide concern especially in cities characterized by heavy traffic and high traffic congestion index. Fog computing can help in road traffic congestion mitigation. This paper introduces fog computing and its relevance to both cloud computing and the internet of things (IoT) along with a model for mitigation of traffic congestion. Fog nodes are proposed to be assigned tasks of acquiring, analyzing, and processing local traffic data at traffic junctions. The obtained results show that more reliable traffic is achieved, where congestion could be reduced through homogeneous traffic distribution by regarding the average rate of traffic flow among the fog nodes.
Journal: International Journal of Simulation: Systems, Science and Technology IJSSST V19
Published: Jun 30, 2018