|Table of Contents|

[1] Li Chunyan, Chen Jun, Ye Xiaofei, Zheng Jingheng, et al. Modeling commuters’ route choice behaviorunder pre-trip information system [J]. Journal of Southeast University (English Edition), 2012, 28 (3): 344-348. [doi:10.3969/j.issn.1003-7985.2012.03.016]
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Modeling commuters’ route choice behaviorunder pre-trip information system()
出行前信息提供条件下驾驶员路径选择行为建模
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
28
Issue:
2012 3
Page:
344-348
Research Field:
Traffic and Transportation Engineering
Publishing date:
2012-09-30

Info

Title:
Modeling commuters’ route choice behaviorunder pre-trip information system
出行前信息提供条件下驾驶员路径选择行为建模
Author(s):
Li Chunyan Chen Jun Ye Xiaofei Zheng Jingheng
School of Transportation, Southeast University, Nanjing 210096, China
李春燕 陈峻 叶晓飞 郑竞恒
东南大学交通学院, 南京 210096
Keywords:
route choice pre-trip real-time information bounded rationality theory logit model
路径选择 出行前实时信息 有限理性理论 logit模型
PACS:
U491.2
DOI:
10.3969/j.issn.1003-7985.2012.03.016
Abstract:
Research about the auto commuter’s pre-trip route choice behavior ignores the combined influence of the real-time information and all respondents’ historical information in the existing documents. To overcome this shortcoming, an approach to describing the pre-trip route choice behavior with the incorporation of the real-time and historical information is proposed. Two types of real-time information are investigated, which are quantitative information and prescriptive information. By using the bounded rationality theory, the influence of historical information on the real-time information reference process is examined first. Estimation results show that the historical information has a significant influence on the quantitative information reference process, but not on the prescriptive information reference process. Then the route choice behavior is modeled. A comparison is also made among three route choice models, one of which does not incorporate the real-time information reference process, while the others do. Estimation results show that the route choice behavior is better described with the consideration of the reference process of both quantitative and prescriptive information.
已有的出行前信息提供条件下的通勤驾驶员路径选择行为通常忽略实时信息和所有出行者历史出行信息之间的相互影响, 针对这一缺点, 提出实时信息和历史信息共同作用下的出行前路径选择行为.通过利用有限理性理论, 首先研究了历史信息对定量型和描述型2种实时信息的影响, 结果发现历史信息对定量型实时信息的参考过程有重要影响, 但对描述型信息的影响很小.在此基础上, 基于考虑和不考虑实时信息的参考过程建立了3种路径选择模型, 预测结果显示, 在定量型和描述型信息2种情况下, 考虑实时信息参考过程的路径选择模型能更好地描述驾驶员路径选择行为.

References:

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Memo

Memo:
Biographies: Li Chunyan(1986—), female, graduate; Chen Jun(corresponding author), male, doctor, professor, chenjun@seu.edu.cn.
Foundation items: The Scientific Research Innovation Project for College Graduates in Jiangsu Province(No.CX10B_071Z), the National High Technology Research and Development Program of China(863 Program)(No.2011AA110304).
Citation: Li Chunyan, Chen Jun, Ye Xiaofei, et al. Modeling commuters’ route choice behavior under pre-trip information system[J].Journal of Southeast University(English Edition), 2012, 28(3):344-348.[doi:10.3969/j.issn.1003-7985.2012.03.016]
Last Update: 2012-09-20