Obstacle Avoidance for Vehicle Platoons in I-VICS: A Safety-Centric Approach Using an Improved Potential Field Method

Based on an enhanced artificial potential field approach, this paper presents a control method for obstacle avoidance in vehicle platoons within Intelligent Vehicle-Infrastructure Cooperative Systems (I-VICS). To enhance safety during maneuvers, an inter-vehicle obstacle avoidance potential field model is established. By integrating virtual forces and a consistency control strategy into the control law, the proposed method effectively handles obstacle avoidance for vehicles operating at large inter-vehicle distances (80–110 m). Experimental validation using real-world trajectory data shows a 34% improvement in trajectory smoothness, as quantified by a proposed Vehicle Trajectory Stability (VTS) metric, leading to significantly safer avoidance maneuvers. A coordinated multi-vehicle obstacle avoidance strategy is further devised using a rotating potential field method, enabling collaborative and safe overall motion planning. Moreover, a path tracking strategy based on virtual force design is introduced to enhance platoon stability and reliability. Future work will focus on collision avoidance for vehicle platoons with varying inter-vehicle distances and will extend the consistency control and cooperative avoidance strategies to longer vehicle platoon to further improve overall traffic safety.

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Publication Details

Journal
World Electric Vehicle Journal
Published
2025-12-22
DOI
https://doi.org/10.3390/wevj17010007
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
0.00

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article

Obstacle Avoidance for Vehicle Platoons in I-VICS: A Safety-Centric Approach Using an Improved Potential Field Method

Jianbei Liu, Ye Zhao, Jianyou Zhao, Du Chigan
World Electric Vehicle Journal
Traffic control and management
article

Obstacle Avoidance for Vehicle Platoons in I-VICS: A Safety-Centric Approach Using an Improved Potential Field Method

Jianbei Liu, Ye Zhao, Jianyou Zhao, Du Chigan
article en

Abstract

Based on an enhanced artificial potential field approach, this paper presents a control method for obstacle avoidance in vehicle platoons within Intelligent Vehicle-Infrastructure Cooperative Systems (I-VICS). To enhance safety during maneuvers, an inter-vehicle obstacle avoidance potential field model is established. By integrating virtual forces and a consistency control strategy into the control law, the proposed method effectively handles obstacle avoidance for vehicles operating at large inter-vehicle distances (80–110 m). Experimental validation using real-world trajectory data shows a 34% improvement in trajectory smoothness, as quantified by a proposed Vehicle Trajectory Stability (VTS) metric, leading to significantly safer avoidance maneuvers. A coordinated multi-vehicle obstacle avoidance strategy is further devised using a rotating potential field method, enabling collaborative and safe overall motion planning. Moreover, a path tracking strategy based on virtual force design is introduced to enhance platoon stability and reliability. Future work will focus on collision avoidance for vehicle platoons with varying inter-vehicle distances and will extend the consistency control and cooperative avoidance strategies to longer vehicle platoon to further improve overall traffic safety.

World Electric Vehicle JournalVol. 17(1)
Chang'an University (CN), CCCC Highway Consultants (China) (CN), China Communications Construction Company (China) (CN)
Key Research and Development Projects of Shaanxi Province
Industry, innovation and infrastructure
Openalex Percentile: Top 37%
Traffic control and management
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Obstacle Avoidance for Vehicle Platoons in I-VICS: A Safety-Centric Approach Using an Improved Potential Field Method — Jianbei Liu, Ye Zhao, et al. · World Electric Vehicle Journal (2025) | TGRS Research Map | TGRS