期刊文献+

基于非对称势场的人车协同博弈避撞 被引量:2

Human-Vehicle Cooperative Game Collision Avoidance Based on Asymmetric Potential Fields
下载PDF
导出
摘要 为保证人机共驾车辆紧急避让行人时的行人安全和车辆稳定性,提出了一种基于行人非对称势场的人(驾驶员)车协同博弈避撞策略。首先充分考虑行人过街特性及其与车辆的相对运动,建立了一种非对称双椭圆行人势场,以更好地表征行人风险,并在此基础上进行了避撞路径规划。接着为提升避撞过程的车辆稳定性并同时保证轨迹跟踪性能,构建了基于非合作博弈的驾驶员-主动前轮转向(AFS)-主动后轮转向(ARS)三者协同控制器,并在行人避让工况下进行了仿真验证。结果表明:ARS参与后,在确保避撞轨迹跟踪性能的同时,稳定性明显提升,其横向速度误差绝对值均值比驾驶员-AFS两者协同控制器减小了46.43%。 In order to ensure the safety of pedestrians and the stability of vehicle in the emergency pedestrian avoidance of human-machine co-driven vehicle,a human(driver)-vehicle cooperative game collision avoidance strategy based on pedestrian asymmetric potential field is proposed.Firstly,with full consideration of the streetcrossing characteristics of pedestrian and his relative motion with vehicle,an asymmetric double elliptical pedestrian potential field is established for better characterize pedestrian risk,based on which the path planning for collision avoidance is performed.Then,for enhancing vehicle stability during collision avoidance and ensuring trajectory tracking performance,a non-cooperative game-based driver-AFS-ARS three-way synergy controller is constructed with a simulation on the condition of pedestrian avoidance is conducted for verification.The results show that with the ARS control added,not only the trajectory tracking performance in collision avoidance is ensured,the stability of vehicle is also apparently enhanced,with its average absolute value of error in lateral speed being 46.43%less than driver-AFS cooperative control.
作者 卢少波 谢菲菲 张博涵 陆嘉峰 李彩霞 Lu Shaobo;Xie Feifei;Zhang Bohan;Lu Jiafeng;Li Caixia(College of Mechanical and Vehicle Engineering,Chongqing University,Chongqing 400044;Chongqing University,State Key Laboratory of Mechanical Transmission,Chongqing 400044)
出处 《汽车工程》 EI CSCD 北大核心 2022年第10期1484-1493,共10页 Automotive Engineering
基金 国家自然科学基金(51675066) 重庆市研究生科研创新项目(CYS21010)联合资助。
关键词 协同控制 改进人工势场 非合作博弈 轨迹跟踪 稳定性控制 cooperative control improved artificial potential field non-cooperative game trajectory tracking stability control
  • 相关文献

参考文献6

二级参考文献52

  • 1詹军.基于驾驶员特征的汽车自适应巡航控制研究[J].汽车工程,2005,27(3):323-325. 被引量:5
  • 2韩永,刘国栋.动态环境下基于人工势场的移动机器人运动规划[J].机器人,2006,28(1):45-49. 被引量:36
  • 3JIA Yu-han , WU Iian-ping, An Improved Car-follow?ing Model Considering Variable Safety Headway Dis?tance[J]. Physics Essays,2014,27(4) :616-619.
  • 4LEE K, PENG H. Evaluation of Automotive Forward Collision Warning and Collision Avoidance Algo?rithms[J]. Vehicle System Dynamics, 2005,43 (10) : 735-75l.
  • 5OLFA TI-SABER R. Flocking for Multi-agent Dynamic Systems:Algorithms and Theory[J]. IEEE Transactions on Automatic Control ,2006 ,51(3) :401-420.
  • 6BYME S,NAEEM W,FERGUSON S. Improved APF Strategies for Dual-arm Local Motion Planning [n. Transactions of the Institute of Measurement and Control, 2015,37 (1) : 73-90.
  • 7YANG Zhao-sheng , YU Yao, YU De-xin , et a1. APF?based Car Following Behavior Considering Lateral Distance [J]. Advances in Mechanical Engineering, 2013,5:207104-207112.
  • 8NI Dai-heng. A Unified Perspective on Traffic Flow Theory, Part I: The Field Theory[J]. Applied Mathe?matical Sciences, 2013,7 (39) : 1929-1946.
  • 9ROSSETTER E J, GERDES J C. Lyapunov Based Performance Guarantees for the Potential Field Lane?keeping Assistance System [n. Journal of Dynamic Systems, Measurement, and Control, 2006, 128 (3) : 510-522.
  • 10PEVEN M, SCURFIELD R, SLEET D, et a1. World Report on Road Traffic Injury Prevention[R]. Gene?va: World Health Organization,2004.

共引文献167

同被引文献15

引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部