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Journal of Intelligent Transportation Systems
Technology, Planning, and Operations
Volume 25, 2021 - Issue 5
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Innovations for Smart and Connected Traffic. Guest Editor. Professor Zhibin Li, Southeast University, China

A motion planner enabling cooperative lane changing: Reducing congestion under partially connected and automated environment

Yu Baia Key Laboratory of Road and Traffic Engineering, the Ministry of Education, Tongji University, Shanghai, ChinaView further author information
,
Yu Zhanga Key Laboratory of Road and Traffic Engineering, the Ministry of Education, Tongji University, Shanghai, China;b Transport & Planning, Delft University of Technology, Delft, The NetherlandsView further author information
&
Jia Hua Key Laboratory of Road and Traffic Engineering, the Ministry of Education, Tongji University, Shanghai, ChinaCorrespondence[email protected]
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Pages 469-481 | Received 13 Aug 2019, Accepted 03 Sep 2020, Published online: 24 Sep 2020

Citations (4)

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Read on this site (1)

Meng Li, Zhibin Li, Yang Zhou & Jiaming Wu. (2022) A cooperative energy efficient truck platoon lane-changing model preventing platoon decoupling in a mixed traffic environment. Journal of Intelligent Transportation Systems 0:0, pages 1-15.
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Articles from other publishers (3)

Kang Sun, Xiangmo Zhao, Siyuan Gong & Xia Wu. (2023) A Cooperative Lane Change Control Strategy for Connected and Automated Vehicles by Considering Preceding Vehicle Switching. Applied Sciences 13:4, pages 2193.
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Jiabin Wu, Xiaohua Chen, Yiming Bie & Wei Zhou. (2023) A co-evolutionary lane-changing trajectory planning method for automated vehicles based on the instantaneous risk identification. Accident Analysis & Prevention 180, pages 106907.
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Qingying Ge, Aijuan Li, Shaohua Li, Haiping Du, Xin Huang & Chuanhu Niu. (2021) Improved Bidirectional RRT Path Planning Method for Smart Vehicle . Mathematical Problems in Engineering 2021, pages 1-14.
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