|国家科技期刊平台
| 注册
首页|期刊导航|交通研究通讯（英文）|LC-LLM:Explainable lane-change intention and trajectory predictions with Large Language Models

LC-LLM:Explainable lane-change intention and trajectory predictions with Large Language Models

Mingxing Peng Xusen Guo Xianda Chen Kehua Chen Meixin Zhu Long Chen Fei-Yue Wang

交通研究通讯（英文）2025，Vol.5Issue(2)：48-60,13.
✕
交通研究通讯（英文）2025，Vol.5Issue(2)：48-60,13.DOI:10.1016/j.commtr.2025.100170

LC-LLM:Explainable lane-change intention and trajectory predictions with Large Language Models

LC-LLM:Explainable lane-change intention and trajectory predictions with Large Language Models

Mingxing Peng 1Xusen Guo 1Xianda Chen 1Kehua Chen 2Meixin Zhu 3Long Chen 4Fei-Yue Wang4

作者信息

  • 1. Intelligent Transportation(INTR),Systems Hub,The Hong Kong University of Science and Technology(Guangzhou),Guangzhou,511400,China
  • 2. Division of Emerging Interdisciplinary Areas(EMIA),Academy of Interdisciplinary Studies,The Hong Kong University of Science and Technology,Hong Kong,999077,China
  • 3. Guangdong Provincial Key Lab of Integrated Communication,Sensing and Computation for Ubiquitous Internet of Things,Guangzhou,511400,China
  • 4. State Key Laboratory of Management and Control for Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing,100190,China
  • 折叠

摘要

关键词

Lane change(LC)/Large language models(LLMs)/Intention prediction/Trajectory prediction/Fine-tuning/Interpretability/Autonomous driving

Key words

Lane change(LC)/Large language models(LLMs)/Intention prediction/Trajectory prediction/Fine-tuning/Interpretability/Autonomous driving

引用本文复制引用

Mingxing Peng,Xusen Guo,Xianda Chen,Kehua Chen,Meixin Zhu,Long Chen,Fei-Yue Wang..LC-LLM:Explainable lane-change intention and trajectory predictions with Large Language Models[J].交通研究通讯（英文）,2025,5(2):48-60,13.

基金项目

This study is supported by the National Natural Science Foundation of China(No.52302379),Guangdong Provincial Natural Science Foundation-General Project(No.2024A1515011790),Guangdong Province General Universities Youth Innovative Talents Project(No.2023KQNCX100),Guangzhou Municipal Science and Technology Project(No.2023A03J0011),and Nansha District Key R&D Project(No.2023ZD006). （No.52302379）

交通研究通讯（英文）

2772-4247

访问量0
|
下载量0
段落导航相关论文