A Guidance Method Based On Game Theory And Space-Time Coordination Between Guidance And Control

As an important measure of traffic management, route guidance solves the problem between traffic administrators and travelers though the release of guidance information. Thus the travelers can know the current status of traffic system better and learn the future situation predicted by the authority. The method of guidance is the key to its efficiency and the system's equilibrium level. In the past years, many researchers focused on seeking effective guidance methods. In this article, considering the decision-making relation between the authority and the travelers, a coordination model based on game theory is presented, in which the authority and the travelers are assumed as two players. Though comparison of simulations under different conditions on a traffic network, it is proved that the guidance method is effective and feasible. Besides route guidance, traffic system needs another management measure, traffic control. Guidance and control should work together to improve their own efficiencies. The objective of route guidance is to realize traffic flow equilibrium in a certain area and a certain period which is different from that of the traffic control. Because guidance emphasizes entirety and stabilization, the sub-area is bigger and the cycle is longer in the guidance system than the control system. However, in the past, this difference was ignored in the coordination model between traffic control and guidance.Considering this time-space difference of control and guidance, based on game theory coordination models under varying sub-area and varying cycle is formed, which considering both the part and flexibility demand of control and the entirety and stabilization demand of guidance. At last, algorithms and simulations are given and the results are got. Though comparison to the simulation under equal sub-area and equal cycle condition, conclusions are drawn below. When the cycles are different, the traffic flow changes on an even keel. And when the sub-areas are different, the distribution of the traffic flow is more balanced. So the models in this article is feasible and effective.