基于进化博弈的路径引导混合理性模型

Junjun Zhao, Xianbao Zhao, Wei Cheng, H. Xiao
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引用次数: 0

摘要

城市交通路径引导行为的复杂性加剧了交通管理者完全理性与驾驶员路径选择有限理性的混合理性现象。首先,通过进化博弈拓扑分析有限路径选择行为,然后针对城市路网系统,基于驾驶经验、引导信息和与引导信息结合的三种选择行为,结合黑匣子进化博弈理论,建立了路径引导简单进化博弈模型。最后,选取路线行驶时间、路径平均行驶速度、路线负荷程度、拥堵指数等参数,并以宝山中心区为例,结果表明:结合引导信息和驾驶经验,是一种较为可靠的路线选择方法,尤其在高峰时段表现最为突出,有利于优化整体路线网络。
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Mixed rationality model of route guidance based on evolutionary game
The mixed rationality phenomenon on complete rationality of traffic managers and limited rationality of route selection of drivers, exacerbated by the complexity of urban transport path-guidance behavior. First, analyze finite route choosing behavior by evolutionary game topologically, and then facing the urban road network system, the route guidance simple evolutionary game model was put through, based on the three choice behaviors of the driving experience, guidance information, and combination with guidance information, and the evolutionary game theory of black box. Finally, select such as the route travel time, the average travel speed of path, the route load degree and congestion index, and take central zone of Baoshan for example, whose result indicate: it is a relatively reliable route selection method for combination with guidance information and driving experience, especially the most outstanding in the rush hour, and helpful to optimize the overall route networks.
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