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日常择路行为的多智能体模拟 被引量:32

Multi-agent simulation on day-to-day route choice behavior
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摘要 日常路径选择是一个长期的、多体参与的非合作博弈过程.基于多智能体环境,对交通信息公开和不公开两种路径更新规则进行了模拟研究,结果表明,信息公开比不公开能够使路径流量更快地演化到logit随机用户均衡状态,但若对信息的依赖程度过大,则可能导致系统振荡;出行者完全依靠自身经验完成路径选择也可以使系统演化至稳定态,但代价是演化效率太低.因此,既要公开交通信息,又要注意合理使用信息.  The day-to-day route choice is a non-cooperative game process with many participants during a long time period.We use the multi-agent simulation system SeSAm to investigate two different route update rules designed for traffic information release and unrelease respectively.Simulation results on a small grid network show that the rule under information release can make route flow evolve to the logit stochastic user equilibrium faster than that under information unrelease.However,the flow pattern may be unstable if travelers put undue compliance on the released information.A stable flow pattern can also be achieved only relying on travelers' perceived experience and learning ability,but the evolution is rather slow.It is thus suggested that the traffic information should be timely released to public meanwhile utilized properly.
出处 《物理学报》 SCIE EI CAS CSCD 北大核心 2007年第11期6321-6325,共5页 Acta Physica Sinica
基金 国家自然科学基金(批准号:70521001) 国家"973"基础研究计划(批准号:2006CB705503)资助的课题.~~
关键词 日常路径选择 多智能体模拟 随机用户均衡 day-to-day route choice,multi-agent simulation,stochastic user equilibrium
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