Smart Vehicles for Traffic Management and Systems Using Cloud Computing

Abstract

A vehicular ad hoc network (VANET) is the network of mobile devices as well as stationary objects that can communicate with each other. This technology comprises of both vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) data transmission links. At present, vehicular mobility framework has a lot of limitations, which includes lack of real-time operations, frequent disconnects due to dynamic-restricted topology, tracking vehicle that break rules, lane-changes, exceed speed-limit, etc. These characteristics call for a new type of high class of protocol. This chapter presents a survey report on “smart traffic control” system that incorporates traffic-related parameters to further augment the control and management of vehicular movements on the roadways. This can support efficient management of traffic in the city, and cops can communicate with each other, get real-time, accurate, status update of the traffic, track the vehicular movements, etc. In addition, jam control mechanism can be placed on heavy traffic days to optimize the routes. This system introduces artificial intelligence (AI) that can optimize deployed of cops and find alternate routes for the driver to reach the destination address without much fuel consumption.