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Learning to search for parking like a human:a deep inverse reinforcement learning approach

Shiyu Wang Haiyan Yang Yijia Tang Jing Chen Cong Zhao Yuchuan Du

International Journal of Transportation Science and Technology2025，Vol.20Issue(4)：P.204-217,14.

International Journal of Transportation Science and Technology2025，Vol.20Issue(4)：P.204-217,14.DOI:10.1016/j.ijtst.2024.11.007

Learning to search for parking like a human:a deep inverse reinforcement learning approach

Shiyu Wang ¹Haiyan Yang ²Yijia Tang ²Jing Chen ¹Cong Zhao ¹Yuchuan Du¹

作者信息

1. Key Laboratory of Road and Traffic Engineering of the Ministry of Education,Tongji University,Shanghai 201804,China
2. School of Software Engineering,Tongji University,Shanghai 201804,China
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摘要

关键词

Search-for-parking/Behavior modeling/Deep inverse reinforcement learning(DIRL)/Traffic simulation/Unity3D

分类

交通工程

引用本文复制引用

Shiyu Wang,Haiyan Yang,Yijia Tang,Jing Chen,Cong Zhao,Yuchuan Du..Learning to search for parking like a human:a deep inverse reinforcement learning approach[J].International Journal of Transportation Science and Technology,2025,20(4):P.204-217,14.

基金项目

supported by the National Natural Science Foundation of China(No.52102383) （No.52102383）

in part by the China Post-doctoral Science Foundation(Nos.2021M692428 and 2023T160487) （Nos.2021M692428 and 2023T160487）

part by the Young Elite Scientist Sponsorship Program by the China Association for Science and Technology(No.YESS20220215). （No.YESS20220215）

International Journal of Transportation Science and Technology

ISSN：2046-0430

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