Dynamic Speed Guidance for Autonomous Bus Under the Intelligent Networking Environment
编号:140 访问权限:仅限参会人 更新:2021-12-03 10:14:48 浏览:127次 张贴报告

报告开始:2021年12月17日 09:12(Asia/Shanghai)

报告时间:1min

所在会场:[P1] Poster2020 [P1T1] Track 1 Advanced Transportation Information and Control Engineering

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摘要
With the continuous development and improvement of automatic-driving technology and connected-vehicle, various real-time information is available now. For example, the intersection signal control schemes can be obtained easily with communication facilities deployed on both sides of the road. To improve the operational reliability and service quality of buses, a dynamic speed guidance strategy for autonomous buses is proposed in this paper. Given the timetable and running route, as well as the moving state of the bus, a speed guidance strategy with the minimum number of stopping is designed considering the constraints of road speed limit and passengers' comfort. When it comes to the situation of autonomous bus passing through the intersection, a speed curve planning model based on the trigonometric curve is established with the aim to reduce the number of stopping. The simulation environment of the autonomous bus was built out of a real bus line. The simulation experiment was implemented by MATLAB software. The effect of the dynamic speed guidance was analyzed through simulation. Results show that the proposed dynamic speed guidance for autonomous bus can effectively improve the operating efficiency of the bus. The arrival delay of the autonomous bus is reduced and the overall punctuality is improved through adaptive speed adjustment and guidance. At the same time, the speed of the car was also increased significantly. In a word, the dynamic speed guidance strategy proposed in this paper can improve the operational reliability of buses, thus improving the service level of buses. It also provides a reference for the application of automatic control technology into bus dispatch. key words: Traffic Engineering; Dynamic Speed Guidance; Speed Curve Planning; Autonomous Bus
关键词
CICTP
报告人
Xuemei Zhou
Tongji University

稿件作者
Xuemei Zhou Tongji 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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