Simulation and analysis of route guidance strategy based on a multi-agent-game approach

During the process of traffic assignment, user equilibrium (UE) and system optimum (SO) are on behalf of the network manager and the travelerspsila different benefits. On the basis of comprehensively considering the dynamic interactive characteristics of UE and SO, game theory is applied to the coordination of the two incompatible ideas, and a route choice game model between the network manager and the traveler is presented. In order to validate the feasibility of the model, multi-agent technology is introduced to build corresponding simulation models. By using Starlogo, the famous Multi-agent simulation software, the paper simulated and compared four different simulation scenarios: none information without game travel, UE travel, UE-SO coordination travel, and SO travel. Through the analysis of the experiment results, the effectiveness and superiority of the coordination model are demonstrated, which provides reference for the practical guidance strategy.