Collaborative lane changing method for multiple autonomous vehicles in the internet of vehicles environment

The collaborative lane changing method innovatively utilises real-time communication and data sharing mechanisms, greatly enhancing the safety of the lane changing process and enabling vehicles to accurately predict each other's intentions and behaviours. Via real-time data sharing and system cooperation, the relationships of autonomous vehicles across global, local, and relative coordinates are thoroughly examined to develop a 3-DOF dynamic model. This model precisely captures lane-changing dynamics, laying a robust groundwork for optimising collaborative lane-changing strategies. By defining start and end constraints, and integrating motion states with crash analysis, the synchronised lane changes of multiple autonomous vehicles are achieved. The experimental results show that the collision avoidance success rate of this innovative method is as high as 98%, and the lane changing time does not exceed 3 seconds, demonstrating excellent performance.

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Publication Details

Journal
International Journal of Intelligent Systems Technologies and Applications
Published
2025-01-01
DOI
https://doi.org/10.1504/ijista.2025.145622
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
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article

Collaborative lane changing method for multiple autonomous vehicles in the internet of vehicles environment

Cheng Zhang
International Journal of Intelligent Systems Technologies and Applications
Autonomous Vehicle Technology and Safety
article

Collaborative lane changing method for multiple autonomous vehicles in the internet of vehicles environment

Cheng Zhang
article en

Abstract

The collaborative lane changing method innovatively utilises real-time communication and data sharing mechanisms, greatly enhancing the safety of the lane changing process and enabling vehicles to accurately predict each other's intentions and behaviours. Via real-time data sharing and system cooperation, the relationships of autonomous vehicles across global, local, and relative coordinates are thoroughly examined to develop a 3-DOF dynamic model. This model precisely captures lane-changing dynamics, laying a robust groundwork for optimising collaborative lane-changing strategies. By defining start and end constraints, and integrating motion states with crash analysis, the synchronised lane changes of multiple autonomous vehicles are achieved. The experimental results show that the collision avoidance success rate of this innovative method is as high as 98%, and the lane changing time does not exceed 3 seconds, demonstrating excellent performance.

International Journal of Intelligent Systems Technologies and ApplicationsVol. 23(1/2)
Anhui Business College (CN)
Sustainable cities and communities
Openalex Percentile: Top 93%
Autonomous Vehicle Technology and Safety
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Collaborative lane changing method for multiple autonomous vehicles in the internet of vehicles environment — Cheng Zhang · International Journal of Intelligent Systems Technologies and Applications (2025) | TGRS Research Map | TGRS