Study on the following behavior of merging area of Freeway based on PSO-KM
编号:1286 访问权限:仅限参会人 更新:2021-12-03 10:40:43 浏览:90次 张贴报告

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摘要
In order to explore the following behavior characteristics of drivers when driving in the merging area of Freeway, which are influenced by the regional traffic flow characteristics, such as acceleration and deceleration of other vehicles, frequent lane change, ramp vehicles merging into the main road and so on, and the behavior difference due to different interferences. Based on the vehicle trajectory data processed in the video taken in the freeway merging area, 11 characteristic parameters representing the car-following state are extracted. The behavior characteristics of 48 following drivers are analyzed by PSO-KM algorithm from three aspects of speed stability, following behavior tendency and lateral position stability. The differences of following behaviors of drivers in each lane and their causes are analyzed. Enter the analysis. It is of great significance to understand the inherent relationship among the behavior characteristics of drivers, the special traffic flow characteristics and the traffic safety risks, and to carry out further research on the accident risk assessment of the merging area of freeway.
关键词
CICTP
报告人
Jian Wang
Chang’an University

稿件作者
Jian 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

主办单位
Chinese Overseas Transportation Association
Chang'an University
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