VANET Based Adaptive Traffic Signal Control
Assistant Professor, Ramanujam Centre For Computational Intelligence, Department of Computer Science And Engineering, Bharath University, Chennai,Tamilnadu, India
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In urban scenarios traffic signal controls are the main mechanism to control vehicular flow at the intersections. However, traditional systems fail to adjust the timing pattern in accordance to the time variability. An alternative to such systems is to develop dynamic systems which will alter the timing patterns according to the traffic demand. In this paper, an adaptive traffic signal control system based on car-to-car communication is designed and developed. This system reduces the waiting time of the vehicles at the intersection along with the reduction in queue length. It’s also verified that the proposed solution is collision free at the intersections. The proposed system is compared with a classical pre-timed system. The simulations also show that the data convergence time and the communication delay between vehicle and traffic signal do not compromise the efficiency of the system.