An Approach to Reduce Traffic Delay in Intersections Using VANET

Abstract

Traffic congestion is considered one of the major problems around the world facing drivers; it results in wasting time and fuel. So many researches were proposed to solve this problem using a vehicular ad hoc network (VANET). This research aims to solve the problem of vehicle breakdown at intersection. In research two scenarios are designed, the first scenario simulates a normal state where the traffic signal light is not adaptive which mean it is assigned a fixed duration for each phase. The second scenario represents adaptive traffic signal light. In this scenario, when the vehicle brakes down, it sends a warning message to the Road Side Unit (RSU). This message contains information about the broken vehicle and the road where the vehicle has broken down. According to this message, the traffic light will change its phase by switching lights from green to red at the broken vehicle road. Three simulators are used to apply the mentioned scenarios. The first one is Vehicle in Network Simulation (veins); the second is Simulation of Urban Mobility (sumo) and the third is OMNET++. The simulation results show the enhancement in the vehicles total time when applying the adaptive scenario compared to the normal scenario. The proposed system also reduces fuel consumption and CO2 emission.