Estimation of Abnormal Event Occurrence Time based on Upstream and Downstream Multi-source Data
编号:2049 访问权限:仅限参会人 更新:2021-12-03 15:37:00 浏览:132次 张贴报告

报告开始:2021年12月17日 09:05(Asia/Shanghai)

报告时间:1min

所在会场:[P2] Poster2021 [P2T1] Track 1 Advanced Transportation Information and Control Engineering

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摘要
After the occurrence of abnormal events on expressways, the estimation of actual occurrence time is conducive to the reasonable control of traffic. Due to the influence of the detection cycle of the detection equipment and the delay of the detection algorithm, the detection time of many events has a certain delay relative to real occurrence time. Based on above, this paper estimates the occurrence time of abnormal events by combining the microwave detector data, toll data and manually recorded data. In this paper, the travel time of the road section based on toll data is estimated. And then the event detection algorithm for the large detection cycle is designed to get the detection time closer to the real occurrence time. Finally, the detection time is modified by travel time. The experimental results show that the time estimation method based on travel time correction is reasonable and effective.
关键词
CICTP
报告人
Dihua Sun
Chongqing University

稿件作者
Dihua Sun Chongqing 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

主办单位
Chinese Overseas Transportation Association
Chang'an University
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