Dynamic traffic graph based risk assessment of multivehicle lane change interaction scenarios-Reference-Cited by-同舟云学术

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Dynamic traffic graph based risk assessment of multivehicle lane change interaction scenarios

Published:2024-06 Issue: Volume:643 Page:129791
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Guo Yinjia,Chen Yanyan,Gu Xin,Guo Jifu,Zheng Shuyan,Zhou Yuntong

Funder

Beijing Municipal Science and Technology Commission

Beijing Natural Science Foundation

Publisher

Elsevier BV

Reference58 articles.

1. Macroscopic characteristics of lane-changing traffic;Jin;Transp. Res. Rec.,2010

2. Active lane management for intelligent connected vehicles in weaving areas of urban expressway;Li;J. Intell. Connect. Veh.,2021

3. A review of vehicle lane change research;Ma;Phys. A: Stat. Mech. Appl.,2023

4. Analyzing differences of highway lane-changing behavior using vehicle trajectory data;Chen;Phys. A: Stat. Mech. Appl.,2023

5. Connected automated vehicle cooperative control with a deep reinforcement learning approach in a mixed traffic environment;Shi;Transp. Res. Part C: Emerg. Technol.,2021

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