Using Maneuver Transition Probabilities to Estimation of Driving Transition Pattern in Traditional Vehicle Environment and Connected Vehicle Environment
编号:423 访问权限:仅限参会人 更新:2021-12-03 10:21:00 浏览:128次 张贴报告

报告开始:2021年12月17日 09:36(Asia/Shanghai)

报告时间:1min

所在会场:[P1] Poster2020 [P1T3] Track 3 Vehicle Operation Engineering and Transportation Management

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摘要
As the development of intelligent transportation technology, accurately estimating the driving maneuver transition in the connected vehicle (CV) environment is crucial to design driver assistance systems. In this study driving data were collected using a driving simulator. Thirty-six test subjects participated in the experiment and the length of the road is about 20km. In the experiment, the test vehicle can be divided into two types: equipped with a driver assistance system and not equipped with a driver assistance system. Driving behavior in this study was categorized into 9 maneuver states. This paper divided the experimental road into nine zones. A comparative analysis was also conducted to examine the changes in speed performance and driving maneuver transition between in connected vehicle (CV) environment and traditional vehicle (TV) environment. The experimental using maneuver transition probabilities to represent the driving behavior. The results shows that connected vehicle can help drivers to adjust vehicle speed to ensure driving safety and comfort. Key words:Traffic Engineering; Driving Maneuver; Connected Vehicle; Transition Probabilities
关键词
CICTP
报告人
Xin Chang
Beijing Key Laboratory of Traffic Engineering,

稿件作者
Xin Chang Beijing Key Laboratory of Traffic Engineering,
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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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