Scheduling and Optimization of Traffic Lights In VANET

Abstract

With the advent of various advances in vehicles, traffic congestion is a serious problem in big cities. With the number of vehicles increasing rapidly, especially in cities, the situation is getting even worse. Traffic lights are used to control the flow of traffic, which can help peoples to reach their destination without any unnecessary delay of traffic Congestion at cross road. Currently, fixed cycle traffic light system manages traffic, throughput of traffic decreases at intersections during rush hours. Hence, an Adaptive traffic light scheduling system is proposed here. This system dynamically changes the cycle of traffic lights according to current traffic, and even the scheduling scheme is modified for avoiding unnecessary delay. Advances of Vehicles led to vehicular communication through Vehicular Ad hoc Network (VANET). Communication between Vehicle to Vehicle and Vehicle to Infrastructure is now possible. In this proposed approach, real-time speed and position information is aggregated from individual vehicles to improve traffic flow at intersections (crossroads), so that, vehicle can travel with minimum delay. Various scheduling algorithms are compared with respect to platoons of vehicles. The main goal is to reduce average delay, fuel consumption and air pollution. This would eventually reduce the Drivers’ Fatigue.