Dynamic traffic management model for real world road networks

Abstract

In this paper, a dynamic traffic management model has been proposed to alleviate the traffic congestion and improve the efficiency of the traffic systems in global perspective. The proposed traffic management model is applied to the large scale microscopic simulator SOUND/4U based on the real world road network of Kurosaki, Kitakyushu in Japan. All the vehicles in the simulator follow the direction from the route guidance of the dynamic traffic management model, in which the extended Q value-based Dynamic Programming with Boltzmann Distribution and the time-varying traffic information are used to generate the routes from the origins to destinations. The simulation results show that the proposed Q value-based Dynamic Programming with Boltzmann Distribution could reduce the traffic congestion and improve the efficiency of the whole traffic system effectively compared with the greedy method in the real world road network.