In order to alleviate traffic congestion and improve the efficiency of traffic systems from a global perspective, a dynamic traffic management model is proposed in this paper. The proposed model is applied to the large-scale microscopic simulator SOUND/4U based on the real-world road network of Kurosaki, Kitakyushu, 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 (QDP-BD) and the time-varying traffic information are used to generate the routes from the origins to the destinations. The simulation results show that the proposed QDP-BD can reduce traffic congestion and improve the efficiency of the whole traffic system effectively compared with the greedy method in the real-world road network. © 2013 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.