建立安全换道域的换道决策与规划
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作者:
作者单位:

1.重庆大学,机械与运载工程学院,重庆 400044;2.重庆大学,机械传动国家重点实验室,重庆 400044;3.重庆长安汽车软件科技有限公司,重庆 401120

作者简介:

汪海松(1997—),男,硕士研究生,主要从事智能汽车路径规划与决策研究,(E-mail) 20162306@cqu.edu.cn。

通讯作者:

胡明辉,男,教授,博士生导师,(E-mail)minghui_h@163.com。

中图分类号:

U491

基金项目:

国家自然科学基金资助项目(52072053);国家重点研发计划项目(2018YFB0106100)。


Lane-changing decision and planning with established safe lane-changing domain
Author:
Affiliation:

1. College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400044, P. R. China;2.State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing 400044, P. R. China;3.Chongqing Chang’an Automobile Software Technology Co. Ltd., Chongqing 401120, P. R. China

Fund Project:

Supported by National Natural Science Foundation of China (52072053), and the National Key R&D Program of China (2018YFB0106100).

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    摘要:

    局部路径规划强调在微观交通场景中输出一条可行驶路径,对每一离散时刻的路径点都要求有极高的安全性和舒适性。现有的局部路径规划方法中鲜有考虑路径曲率是否连续、路径起讫点约束等物理特性的基于安全换道域的换道决策与规划方法。本研究中对典型的换道场景建立了临界安全换道角模型,对无法演变为单障碍车换道场景的双障碍车换道场景建立了安全换道域。对比了几种常用换道路径,筛选出B样条曲线法作为局部路径规划方法,利用换道时间和换道路径平均曲率确定基于安全换道域的最优换道路径,并提出了基于安全换道域的换道决策,联合Simulink和PreScan计算平台在典型换道场景下实现了所提出的换道策略的仿真验证。结果表明,所提出的换道决策和换道路径规划能够实现本车的安全换道。

    Abstract:

    Local path planning emphasizes generating a drivable path in micro traffic scenarios, which requires high safety and comfort for each discrete point along the path. At present, few local path planning methods consider physical characteristics such as continuity of path curvature and constraints on the starting and ending points of the path. In this study, a lane-changing decision and planning method based on a safe lane-changing domain is explored. A critical safe lane-changing angle model is established for typical lane-changing scenarios, and for lane-changing scenarios involving dual obstacles that cannot evolve into single-obstacle lane-changing scenarios, a safe lane-changing domain is established. Several commonly used lane-changing paths are compared, and the B-spline curve method is selected as the local path planning method. The optimal lane-changing path based on the safe lane-changing domain is determined using the lane-changing time and the average curvature of the lane-changing path. A lane-changing decision strategy based on the safe lane-changing domain is proposed. Simulation verification of the proposed lane-changing strategy is realized in typical lane-changing scenarios by using the Simulink and PreScan computing platforms. The results show that the proposed lane-changing decision and lane-changing path planning can achieve a safe lane change for the ego vehicle.

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引用本文

汪海松,胡明辉,黎万洪,曹开斌.建立安全换道域的换道决策与规划[J].重庆大学学报,2024,47(3):16-29.

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  • 收稿日期:2022-01-11
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  • 在线发布日期: 2024-04-02
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