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Spatiotemporal-restricted A* algorithm as a support for lane-free traffic at intersections with mixed flows

Haifei Chi Pinlong Cai Daocheng Fu Junda Zhai Yadan Zeng Botian Shi

新能源与智能载运(英文)2025,Vol.3Issue(1):39-50,12.
新能源与智能载运(英文)2025,Vol.3Issue(1):39-50,12.DOI:10.1016/j.geits.2024.100159

Spatiotemporal-restricted A* algorithm as a support for lane-free traffic at intersections with mixed flows

Spatiotemporal-restricted A* algorithm as a support for lane-free traffic at intersections with mixed flows

Haifei Chi 1Pinlong Cai 2Daocheng Fu 1Junda Zhai 1Yadan Zeng 3Botian Shi4

作者信息

  • 1. Shanghai Artificial Intelligence Laboratory,701 Yunjin Road,Xuhui,Shanghai,200232,China
  • 2. Southeast University,No.2 Sipailou,Nanjing,Jiangsu Province,210096,China
  • 3. China Research and Development Academy of Machinery Equipment,69 Zizhuyuan Road,Haidian,Beijing,100089,China
  • 4. Robotics Research Centre of the School of Mechanical and Aerospace Engineering,Nanyang Technological University,50 Nanyang Avenue,Singapore,639798
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摘要

关键词

Connected automated vehicles/Trajectory planning/Intersection/Mixed flows/Lane-free traffic

Key words

Connected automated vehicles/Trajectory planning/Intersection/Mixed flows/Lane-free traffic

引用本文复制引用

Haifei Chi,Pinlong Cai,Daocheng Fu,Junda Zhai,Yadan Zeng,Botian Shi..Spatiotemporal-restricted A* algorithm as a support for lane-free traffic at intersections with mixed flows[J].新能源与智能载运(英文),2025,3(1):39-50,12.

基金项目

This work was supported by the Science and Technology Commission of Shanghai Municipality(Nos.22YF1461400 and 22DZ1100102)and the National Key R&D Program of China(No.2022ZD0160104). (Nos.22YF1461400 and 22DZ1100102)

新能源与智能载运(英文)

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