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Freeway merging trajectory prediction for automated vehicles using naturalistic driving data

Xinchen Ye Xuesong Wang Xiaomeng Wang Yanli Bao Xiaolei Zhu

International Journal of Transportation Science and Technology2025，Vol.19Issue(3)：P.1-16,16.

International Journal of Transportation Science and Technology2025，Vol.19Issue(3)：P.1-16,16.DOI:10.1016/j.ijtst.2024.07.004

Freeway merging trajectory prediction for automated vehicles using naturalistic driving data

Xinchen Ye ¹Xuesong Wang ¹Xiaomeng Wang ²Yanli Bao ¹Xiaolei Zhu¹

作者信息

1. College of Transportation Engineering,Tongji University,Shanghai 201804,China Key Laboratory of Road and Traffic Engineering of Ministry of Education,Shanghai 201804,China
2. College of Transport and Communications,Shanghai Maritime University,Shanghai 201306,China
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摘要

关键词

Automated vehicle(AV)/Freeway merging section/Trajectory prediction/Shanghai Naturalistic Driving Study(SH-NDS)/Neural network(NN)

分类

交通工程

引用本文复制引用

Xinchen Ye,Xuesong Wang,Xiaomeng Wang,Yanli Bao,Xiaolei Zhu..Freeway merging trajectory prediction for automated vehicles using naturalistic driving data[J].International Journal of Transportation Science and Technology,2025,19(3):P.1-16,16.

基金项目

sponsored by the National Natural Science Foundation of China(No.51878498) （No.51878498）

the Belt and Road Cooperation Program under the 2023 Shanghai Action Plan for Science,Technology and Innovation(No.23210750500). （No.23210750500）

International Journal of Transportation Science and Technology

ISSN：2046-0430

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