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融合势能场及视线检查A*的匝道合流路径规划方法

郑淞淼 赖粤 钟武昌 罗魏男 余荣

广东工业大学学报2026,Vol.43Issue(3):129-142,14.
广东工业大学学报2026,Vol.43Issue(3):129-142,14.DOI:10.12052/gdutxb.250227

融合势能场及视线检查A*的匝道合流路径规划方法

A Path Planning Method for Ramp Merging via Potential Field-augmented A* with Line-of-sight Checking

郑淞淼 1赖粤 1钟武昌 1罗魏男 1余荣1

作者信息

  • 1. 广东工业大学 自动化学院,广东 广州 510006
  • 折叠

摘要

Abstract

Ramp merging areas,as critical nodes for intelligent vehicle traffic,are characterized by high dynamic interaction and strong uncertainty,making it difficult for traditional path planning algorithms to balance safety,real-time performance,and smoothness in such complex scenarios.To address these challenges,a path planning algorithm is proposed integrating an improved artificial potential field and line-of-sight A*.Firstly,a piecewise potential field model comprising guidance,obstacle avoidance,and boundary constraints is constructed.A dynamic weight adjustment mechanism is also introduced to adapt to the kinematic requirements of vehicles at different merging stages,efficiently resolving the unreachable target problem of traditional potential field methods.Secondly,a physical line-of-sight check mechanism incorporating safety thresholds is embedded into the A* algorithm.By utilizing a non-axial connection strategy to prune redundant nodes,the node expansion direction is optimized to enhance search efficiency.Finally,the improved potential field is mapped as the heuristic cost function of the A*algorithm,achieving a deep coupling of global path planning and local risk perception.Simulation results demonstrate that,compared with traditional A*,the Rapidly-exploring Random Tree Star(RRT*)algorithm,and existing analogous fusion schemes,the runtime of the proposed algorithm is reduced by 70.8%,the minimum obstacle avoidance distance is increased by 106.6%,and lateral jerk is decreased to 0.62 m/s3.The proposed algorithm effectively enhances the safety and stability of trajectory planning,demonstrating its efficiency and robustness in complex merging scenarios.

关键词

智能驾驶/匝道合流/路径规划/改进势能场/视线检查A*

Key words

intelligent driving/ramp merging/path planning/improved potential field/line-of-sight A*

分类

交通工程

引用本文复制引用

郑淞淼,赖粤,钟武昌,罗魏男,余荣..融合势能场及视线检查A*的匝道合流路径规划方法[J].广东工业大学学报,2026,43(3):129-142,14.

基金项目

国家自然科学基金资助项目(U22A2054) (U22A2054)

广东工业大学学报

1007-7162

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