多源出行信息影响下的路径选择行为仿真研究

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摘要 To determine the route choice behavior of a driver under a scenario with multiple-source travel information, the features of subjective travel time prediction were analyzed, and then a conceptual model of prediction was established. Various scenarios with multi-resource travel information, such as traffic radio and variable message signs (VMS), were designed based on a large driving simulation system. Then, the drivers were asked to search for travel information and perform driving tests at the minimum travel time to determine their route choice behavior characteristics. Results show that the scenario with traffic radio has the maximum average travel time and the lowest accuracy of prediction. However, traffic radio prevents drivers from encountering the route of serious delay; the scenario with VMS has the highest discrete degree, but accuracy in travel time prediction presents a limited service range. The scenario with traffic radio and VMS improves the accuracy of prediction with minimum variance and enables drivers to perform better than they do under a scenario with a single information source.

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	戢晓峰
	张玲
	冯川

关键词 ： ITS, route choice behavior characteristics, multi-source travel information, driving simulation, travel time predi-ction

Abstract：To determine the route choice behavior of a driver under a scenario with multiple-source travel information, the features of subjective travel time prediction were analyzed, and then a conceptual model of prediction was established. Various scenarios with multi-resource travel information, such as traffic radio and variable message signs (VMS), were designed based on a large driving simulation system. Then, the drivers were asked to search for travel information and perform driving tests at the minimum travel time to determine their route choice behavior characteristics. Results show that the scenario with traffic radio has the maximum average travel time and the lowest accuracy of prediction. However, traffic radio prevents drivers from encountering the route of serious delay; the scenario with VMS has the highest discrete degree, but accuracy in travel time prediction presents a limited service range. The scenario with traffic radio and VMS improves the accuracy of prediction with minimum variance and enables drivers to perform better than they do under a scenario with a single information source.

Key words： ITS route choice behavior characteristics multi-source travel information driving simulation travel time predi-ction

收稿日期: 2016-06-12

基金资助:Supported by the National Natural Science Foundation of China (No. 41501174)

通讯作者: JI Xiao-feng,E-mail address:yiluxinshi@sina.com E-mail: yiluxinshi@sina.com

引用本文:

戢晓峰, 张玲, 冯川. 多源出行信息影响下的路径选择行为仿真研究[J]. Journal of Highway and Transportation Research and Development, 2017, 11(1): 77-83.
JI Xiao-feng, ZHANG Ling, FENG Chuan. Simulation Study on Route Choice Behavior under Multi-source Travel Information. Journal of Highway and Transportation Research and Development, 2017, 11(1): 77-83.

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http://manu27.magtech.com.cn/Jwk_gljtkj_en/CN/ 或 http://manu27.magtech.com.cn/Jwk_gljtkj_en/CN/Y2017/V11/I1/77

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