A study of dispatcher's route choice model based on evolutionary game theory
A study of dispatcher's route choice model based on evolutionary game theory
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DOI：
10.1016/j.sbspro.2012.03.125
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Naohiro Uchiyama;E. Taniguchi
中科院分区：
文献类型：
--
作者：
Naohiro Uchiyama;E. Taniguchi
在这项研究中，我们开发了一个路径选择模型，考虑旅行时间的可靠性和交通障碍，包括交通事故。基于进化博弈理论，我们设计的模型，以确定一个调度员选择的路线时，考虑到每天的路线旅行时间和交通障碍的变化，使用测量数据。进化博弈论是一种利用动态学建立的博弈理论，它分析了策略组合的分布和变化。本研究使用了Roth & Erev（1995）的模型，该模型是假设试错学习的模型的代表，使用本研究设计的模型进行了两个案例研究。第一个案例研究将一些路线的标准差降低到原始值的3/4，第二个案例研究将一条收费公路的收费降低了一半。因此，路线选择策略的组合发生了重大变化。
In this study, we developed a route choice model that considered travel time reliability and traffic impediments, including traffic accidents. Based on evolutionary game theory, we designed the model to identify a route that a dispatcher chooses when considering changes in daily route travel times and traffic impediments using measured data. Evolutionary game theory is a game theory formulated using dynamics, and it analyses the distribution and change of a combination of strategies. A model from Roth & Erev (1995), which was taken as a representative of models that assumed trial and error learning, was used.Using the model designed for this study, we conducted two case studies. The first case study reduced the standard deviation of some routes to 3/4 of the original value, and the second case study reduced the charge of a toll road by half. As a result, the combination of route choice strategies changed significantly.