Experimental study on the departure time choice behavior during the morning rush hours under different road capacity conditions

IF 3.3 3区 工程技术 Q2 TRANSPORTATION
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引用次数: 0

Abstract

This paper presents an experimental study on the departure time choice behavior during the morning rush hours under different road capacity conditions. Experimental data are analyzed from the aspects of the equilibrium state of a traffic system and the choice behavior of subjects. The experimental results showed that the user equilibrium is easy to achieve in the medium-capacity scenario; however, it is difficult in the low- and high-capacity scenario. This implies that the user equilibrium cannot predict the aggregate behavior well when the bottleneck capacity is too low or too high. A reinforcement learning model is constructed to reproduce experimental results and uncover subjects’ learning mechanism. Simulation results are in good agreement with the experimental results. The results presented in this study could provide the theoretical support for developing measures for transportation management and control during the morning rush hours.
不同道路通行能力条件下早高峰时段出发时间选择行为的实验研究
本文对不同道路通行能力条件下早高峰时段的出发时间选择行为进行了实验研究。实验数据从交通系统的平衡状态和被试的选择行为两方面进行分析。实验结果表明,在中等通行能力情况下,用户平衡状态容易实现;但在低通行能力和高通行能力情况下,用户平衡状态难以实现。这意味着当瓶颈容量过低或过高时,用户均衡不能很好地预测总体行为。为了重现实验结果并揭示受试者的学习机制,我们构建了一个强化学习模型。仿真结果与实验结果十分吻合。本研究的结果可为制定早高峰时段的交通管理和控制措施提供理论支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.40
自引率
14.30%
发文量
79
审稿时长
>12 weeks
期刊介绍: Transportation Letters: The International Journal of Transportation Research is a quarterly journal that publishes high-quality peer-reviewed and mini-review papers as well as technical notes and book reviews on the state-of-the-art in transportation research. The focus of Transportation Letters is on analytical and empirical findings, methodological papers, and theoretical and conceptual insights across all areas of research. Review resource papers that merge descriptions of the state-of-the-art with innovative and new methodological, theoretical, and conceptual insights spanning all areas of transportation research are invited and of particular interest.
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