A vehicular collision avoidance routing algorithm based on V2V

Abstract

Vehicle to vehicle (V2V) communication can give us better results by avoiding the major problems in road like collision of vehicle, better route selection in case of traffic congestion etc. In this paper, we propose a vehicular collision avoidance routing algorithm based on V2V communication to deal with the issue of collision of vehicles in urban scenarios. We first investigate vehicular collision cases at intersection, which is influenced by status of traffic light and driving state of vehicle and determine alternative collision sets based on the remaining time of traffic lights. Furthermore, we provide an information acquisition method that takes into account priority of the driving state function and formulize the collision detection. Moreover, by using Network Simulation version 2 (NS-2), compared with Vehicular Ad-hoc on-demand Distance Vector (VAODV), the algorithm proposed in this paper outperforms in network throughput and message delivery time.