题名: |
Trajectory optimization for connected and automated vehicles in a drop-off area of the departure curbside |
正文语种: |
eng |
作者: |
Chang Lu;Yuehui Wu;Hao Li;Huizhao Tu |
作者单位: |
The Key Laboratory of Road and Traffic Engineering Ministry of Education Tongji University Shanghai China||College of Transportation Engineering Tongji University Shanghai China;Department of Urban Management Kyoto University Kyoto Japan;The Key Laboratory of Road and Traffic Engineering Ministry of Education Tongji University Shanghai China||College of Transportation Engineering Tongji University Shanghai China;The Key Laboratory of Road and Traffic Engineering Ministry of Education Tongji University Shanghai China||College of Transportation Engineering Tongji University Shanghai China |
关键词: |
Connected and automated vehicle; trajectory optimization; departure curbside; drop-off; mixed integer programming |
摘要: |
Recently, advanced in-vehicle technologies have led to the emergence of connected and automated vehicles (CAVs). CAVs are supposed to improve traffic efficiency and safety by coordinating the vehicles based on the communication among vehicles. This study addresses the trajectory optimization of CAVs in the drop-off area of the departure curbside, which consists of many conflict points. We first propose a centralized control method to optimize the trajectories of CAVs and then propose an implementation procedure to deal with the dynamic features and reduce the problem scales for practical instances. Contrast experiments are conducted to test the performance of the proposed control method. Results under various scenarios (different volumes, safety gaps, and desired speeds) demonstrate that CAVs controlled by the proposed method significantly outperform human-driven vehicles without control concerning mean travel time in the drop-off area. |
出版年: |
2023 |
期刊名称: |
Journal of Intelligent Transportation Systems |
卷: |
27 |
期: |
1/6 |
页码: |
721-734 |