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Lane-Changing Intention Recognition Based on Multivehicle Interaction Dynamic Graph Modeling in a Connected Environment
| 题名： | Lane-Changing Intention Recognition Based on Multivehicle Interaction Dynamic Graph Modeling in a Connected Environment |
| 正文语种： | eng |
| 作者： | Yunchao Zhang;Yanyan Chen;Yongxing Li;Jianling Huang;Siyang Li |
| 作者单位： | Beijing Key Laboratory of Traffic Engineering Beijing Univ. of Technology Beijing 100124 China;Beijing Key Laboratory of Traffic Engineering Beijing Univ. of Technology Beijing 100124 China;Beijing Key Laboratory of Traffic Engineering Beijing Univ |
| 关键词： | Lane changing; Intention recognition; Multivehicle interaction; Graph convolutional neural network; Long short-term memory (LSTM) neural network |
| 摘要： | Accurate and proactive lane-changing (LC) intention recognition can assist drivers in making LC decisions to improve driving safety. However, the mechanism of drivers' LC decisions in dynamically changing environments is still not fully understood, which |
| 出版年： | 2024 |
| 期刊名称： | Journal of Transportation Engineering, Part A. Systems |
| 卷： | 150 |
| 期： | 6 |
| 页码： | 04024022.1-04024022.11 |
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