Cause Analysis and Prediction of Urban Congestion Based on Behavioral Traffic
编号:1021 访问权限:仅限参会人 更新:2021-12-03 10:34:28 浏览:81次 张贴报告

报告开始:2021年12月17日 08:56(Asia/Shanghai)

报告时间:1min

所在会场:[P1] Poster2020 [P1T6] Track 6 Future Transportation and Modern Logistics

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摘要
It is necessary to study the causes of traffic congestion for more accurate predictions and taking appropriate traffic management measures in advance. In this article, we analyze the causes of traffic congestion and predict congestion by traffic behaviors. The main research process is as follows: Fist, this paper it defines traffic behavior. In combination with existing research, it provides an in-depth analysis of traffic behaviors including the general characteristics of traffic behavior, the development trend of traffic behavior, and research of traffic behavior. that is why we choose road traffic behavior, driver behavior, and slow traffic behavior as our research object. Then, the paper conducts a simulation study on the driver's path selection behavior, driving behavior, and the mutual influence between pedestrians and motor vehicles. We find path selection in the completely random situation and the case of selective preferences can easily cause traffic jams. It is reasonable to ensure 73% transparency of information. In system we simulated, the probability of a pedestrian crossing the road exceeds 4% is enough to paralyze the road system. KEY WORDS: traffic jam, traffic behavior, cause analysis, path choice, Congestion management
关键词
CICTP
报告人
Yongjie Wang
Chang'an University

稿件作者
Yongjie Wang Chang'an University
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重要日期
  • 会议日期

    12月17日

    2021

    12月20日

    2021

  • 12月16日 2021

    报告提交截止日期

  • 12月24日 2021

    注册截止日期

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Chinese Overseas Transportation Association
Chang'an University
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