Traffic induction has become the key to solve the problem of urban traffic congestion, the driver in the induction of information on how to choose worthy of study.Based on empirical weighted attraction learning theo-ry,the beliefs formed was considered by the historical experience and other drivers'strategies,and considered the drivers as participants of bounded rationality, and establishes the traffic induced model.The driver path selection process is studied by game theory.The influence of road network traffic and initial acceptance ratio on driver rou-ting is analyzed by simulation.It provides guidance for the release of induction information and alleviates urban traf-fic pressure.%交通诱导成为解决城市交通拥堵问题的关键,驾驶员在接受诱导信息时如何选择值得研究.基于经历加权吸引学习理论,综合考虑自身历史经验及对其他驾驶员策略选择形成的信念,将驾驶员视为有限理性的参与者,建立交通诱导模型.通过博弈论研究驾驶员路径选择过程;并通过仿真分析路网流量、初始接受比例变化对驾驶员路径选择产生的影响,为诱导信息的发布提供指导,缓解城市交通压力.
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