Traffic Path Planning Method Based on VANET and Ant Colony Algorithm

Abstract

Intelligent Transport System (ITS) has been widely used in our life. A traffic path planning method based on VANET (Vehicular Ad Hoc Network) is proposed, which considers the path length and congestion comprehensively, uses ant colony algorithm to find an optimal path with the shortest delay, redesigns the pheromone update and heuristic function, dynamic adjusts evaporation rate to avoid the old information and reduce the re exploration of the visited path, in order to speed up the convergence speed and expand the search space. Simulation results show that this method can avoid congestion path, shorten path search time, and ensure the effectiveness of the path.