Please wait a minute...
文章检索
复杂系统与复杂性科学  2023, Vol. 20 Issue (2): 60-67    DOI: 10.13306/j.1672-3813.2023.02.008
  本期目录 | 过刊浏览 | 高级检索 |
自动驾驶车辆换道博弈策略分析及建模
张可琨, 曲大义, 宋慧, 戴守晨
青岛理工大学机械与汽车工程学院,山东 青岛 266520
Analysis and Modeling for Lane-changing Game Strategy of Autonomous Vehicles
ZHANG Kekun, QU Dayi, SONG Hui, DAI Shouchen
School of Mechanical and Antomotive Engineering,Qingdao University of Technology,Qingdao 266520,China
全文: PDF(1969 KB)  
输出: BibTeX | EndNote (RIS)      
摘要 为了促进自动驾驶技术的发展,本文聚焦于自动驾驶车辆换道决策行为。首先对换道意图进行客观性量化,然后引入换道碰撞概率与换道动态风险系数,并基于博弈论思想建立自动驾驶车辆换道博弈决策行为模型,选取速度收益作为博弈收益的考量目标,使得自动驾驶车辆进行协作、安全、合理的换道。最后,使用SUMO软件将传统LC2013换道模型与换道博弈决策行为模型进行仿真实验和对比分析,结果表明换道博弈决策行为模型具有更高的稳定性、可靠性、安全性以及车道利用率。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
张可琨
曲大义
宋慧
戴守晨
关键词 自动驾驶换道行为决策方法博弈策略    
Abstract:In order to promote the development of autonomous driving technology, this paper focuses on the lane-changing decision-making behavior of autonomous vehicles. First, the lane-changing intention is quantified objectively, and then the lane-changing collision probability and the lane-changing dynamic risky coefficient are introduced. Based on the game theory, the decision-making behavior model of the lane-changing game for autonomous vehicles is established. Besides, speed gains are considered as the objective of game gains. Therefore, autonomous vehicles can change lanes in a coordinated, safe and reasonable manner. Finally, with SUMO software, the traditional LC2013 lane-changing model and the decision-making behavior model of the lane-changing game are used for simulation experiments and comparative analysis. The results show that the decision-making behavior model of the lane-changing game has higher stability, reliability, safety and lane utilization.
Key wordsautonomous driving    lane-changing behavior    decision-making method    game strategy
收稿日期: 2021-12-18      出版日期: 2023-07-21
ZTFLH:  U463  
  TP18  
基金资助:国家自然科学基金(51678320);山东省重点研发计划(2019GGX101038)
通讯作者: 曲大义(1973-),男,山东青岛人,博士,教授,主要研究方向为车路协同与安全控制。   
作者简介: 张可琨(1997-),男,江苏徐州人,硕士研究生,主要研究方向为车路协同与自动驾驶。
引用本文:   
张可琨, 曲大义, 宋慧, 戴守晨. 自动驾驶车辆换道博弈策略分析及建模[J]. 复杂系统与复杂性科学, 2023, 20(2): 60-67.
ZHANG Kekun, QU Dayi, SONG Hui, DAI Shouchen. Analysis and Modeling for Lane-changing Game Strategy of Autonomous Vehicles. Complex Systems and Complexity Science, 2023, 20(2): 60-67.
链接本文:  
https://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2023.02.008      或      https://fzkx.qdu.edu.cn/CN/Y2023/V20/I2/60
[1] 黎宇科,刘宇.国内智能网联汽车发展现状及建议[J].汽车与配件,2016(41):56-59.
LI Y K, LIU Y. Development status and suggestions of domestic intelligent connected vehicles[J]. Automobile and Parts, 2016(41):56-59.
[2] 徐泽洲,曲大义,洪家乐,等.智能网联汽车自动驾驶行为决策方法研究[J].复杂系统与复杂性科学,2021,18(3):88-94.
XU Z Z, QU D Y, HONG J L, et al. Research on decision-making method for autonomous driving behavior of connected and automated vehicle[J]. Complex Systems and Complexity Science, 2021, 18(3):88-94.
[3] GIPPS P G. A model for the structure of lane changing decisions[J]. Transportation Research Part B: Methodological, 1986, 20(5):403-414.
[4] Kanaris A, Kosmatopoulos E B, Loannou P A. Strategies and spacing requirements for lane changing and merging in automated highway systems[J]. IEEE Transactions on Vehicular Technology, 2001, 50(6):1568-1581.
[5] Jula H, Kosmatopoulos E B, Ioannou P A. Collision avoidance analysis for lane changing and merging[J]. IEEE Transactions on Vehicular Technology, 2000, 49(6):2295-2308.
[6] PETER H. Modelling lane changing and merging in microscopic traffic simulation[J]. Transportation Research Part C: Emerging Technologies, 2002, 10(5):351-371.
[7] Langar R, Kim C. Game theory based autonomous vehicles operation[J]. International Journal of Vehicle Design, 2014, 65(4):360-383.
[8] 宋威龙.城区动态环境下智能车辆行为决策研究[D].北京:北京理工大学,2016.
SONG W L. Research on behavioral decision making for intelligent vehicles in dynamic urban environments[D]. Beijing: Beijing Institute of Technology,2016.
[9] 聂建强.高速公路车辆自主性换道行为建模研究[D].南京:东南大学,2017.
NIE J Q. Research on modeling of discretionary lane-changing behavior of vehicles in freeway [D]. Nanjing: Southeast University,2017.
[10] 李传友.高速公路环境下智能车辆自动换道研究[D].西安:长安大学,2019.
LI C Y. Research on intelligent vehicle automatic Lane change in expressway environment[D]. Xi’an: Chang’an University,2019.
[11] 曲大义,黑凯先,郭海兵,等.车联网环境下车辆换道博弈行为及模型[J].吉林大学学报(工学版),2022,52(1):101-109.
QU D Y, HEI K X, GUO H B, et al. Game behavior and model of lane-changing on the internet of vehicles environment[J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(1):101-109.
[12] 黑凯先,曲大义,郭海兵,等.网联混合车流车辆换道博弈行为及模型[J].科学技术与工程,2021,21(6):2495-2501.
HEI K X, QU D Y, GUO H B, et al. Modeling lane-changing behavior in mixed traffic flow connected environment based on game behavior[J]. Science Technology and Engineering, 2021, 21(6):2495-2501.
[13] KITA H. A merging-give way interaction model of cars in a merging section: a game theoretic analysis[J]. Transportation Research Part A:Policy and Practice, 1999, 33(3):1-312.
[14] BELL M H. A game theory approach to measuring the performance reliability of transport networks[J]. Transportation Research Part B: Methodological, 2000, 34(6):533-545.
[15] 孟鑫.混合车流环境下城市快速路交织区仿真研究[D].长春:吉林大学,2019.
MENG X. Research on the simulation of the weaving area on the urban expressway under the mixed traffic environment[D]. Changchun: Jilin University, 2019.
[1] 徐泽洲, 曲大义, 洪家乐, 宋晓晨. 智能网联汽车自动驾驶行为决策方法研究[J]. 复杂系统与复杂性科学, 2021, 18(3): 88-94.
[2] 郑振华, 刘其朋. 基于视觉特征提取的强化学习自动驾驶系统[J]. 复杂系统与复杂性科学, 2020, 17(4): 30-37.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed