{"title":"基于进化博弈的路径引导混合理性模型","authors":"Junjun Zhao, Xianbao Zhao, Wei Cheng, H. Xiao","doi":"10.1117/12.2679257","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":301595,"journal":{"name":"Conference on Pure, Applied, and Computational Mathematics","volume":"127 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mixed rationality model of route guidance based on evolutionary game\",\"authors\":\"Junjun Zhao, Xianbao Zhao, Wei Cheng, H. Xiao\",\"doi\":\"10.1117/12.2679257\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":301595,\"journal\":{\"name\":\"Conference on Pure, Applied, and Computational Mathematics\",\"volume\":\"127 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference on Pure, Applied, and Computational Mathematics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.2679257\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference on Pure, Applied, and Computational Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2679257","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.