Lane-Changing Intention Recognition Based on Multivehicle Interaction Dynamic Graph Modeling in a Connected Environment-Reference-Cited by-同舟云学术

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Lane-Changing Intention Recognition Based on Multivehicle Interaction Dynamic Graph Modeling in a Connected Environment

Published:2024-06 Issue:6 Volume:150 Page:
ISSN:2473-2907
Container-title:Journal of Transportation Engineering, Part A: Systems
language:en
Short-container-title:J. Transp. Eng., Part A: Systems

Author:

Zhang Yunchao¹,Chen Yanyan²,Li Yongxing³,Huang Jianling⁴,Li Siyang¹

Affiliation:

1. Ph.D. Candidate, Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing 100124, China.

2. Professor, Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing 100124, China.

3. Lecturer, Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing 100124, China (corresponding author).

4. Professor, Beijing Intelligent Transportation Development Center, Beijing 100161, China.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JTEPBS.TEENG-8272

Reference45 articles.

1. Modeling System Dynamics of Mixed Traffic With Partial Connected and Automated Vehicles

2. Video action recognition for lane-change classification and prediction of surrounding vehicles;Biparva M.;IEEE Trans. Intell. Veh.,2022

3. On-road prediction of driver’s intent with multimodal sensory cues;Doshi A.;IEEE Pervasive Comput.,2011

4. On the roles of eye gaze and head dynamics in predicting driver’s intent to change lanes;Doshi A.;IEEE Trans. Intell. Transp. Syst.,2009

5. Deep learning-based hybrid model for the behaviour prediction of surrounding vehicles over long-time periods;Gao X.;IET Intel. Transport Syst.,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improved time series models for the prediction of lane-change intention;Transportation Letters;2024-07-22

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