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作 者:王方 王晓原[1,2] 刘振雪 王建强[2] 孔栋[1] 王云云 WANG Fang;WANG Xiaoyuan;LIU Zhenxue;WANG Jianqiang;KONG Dong;WANG Yunyun(Institute of Intelligent Transportation,School of Transportation and Vehicle Engineering,Shandong University of Technology,Zibo,Shandong 255049,China;State Key Laboratory of Automotive Safety and Energy,Tsinghua University,Beijing 100084,China)
机构地区:[1]山东理工大学交通与车辆工程学院智能交通研究所,山东淄博255049 [2]清华大学汽车安全与节能国家重点实验室,北京100084
出 处:《计算机工程与应用》2018年第23期238-245,共8页Computer Engineering and Applications
基 金:国家自然科学基金(No.61074140);汽车安全与节能国家重点实验室开放基金(No.KF16232);山东省自然科学基金(No.ZR2014FM027)
摘 要:针对集群车辆驾驶员的车道选择行为,着眼物联网背景,综合考虑车辆集群态势、驾驶倾向性等影响驾驶员行为的因素,建立基于完全信息多人动态博弈的车道选择模型。通过分析不同策略组合下的驾驶员收益,运用逆向归纳法,求解子博弈精炼纳什均衡,得到驾驶员的最优车道选择策略。应用实车实验等手段验证模型,结果表明,所建模型能够较为客观地反映驾驶员车道选择行为及交通流特性。Aiming at driver’s lane selection behavior in a clustered situation,with a view to the background of Internet of Things,the factors which influence driving behavior,such as vehicle group situation and driving propensity,are given a comprehensive consideration,and the driver’s lane selection model based on multi-player dynamic game with complete information is built.The driver’s payoffs under different combination of lane selection strategies are analyzed,and on this basis,the subgame perfect Nash equilibrium solution is solved through backward induction,and the driver’s optimal lane selection strategy is obtained.Actual driving experiment and other means are applied for model validation.The results show that the model built in this paper can objectively reflect driver’s lane selection behavior and the operation characteristic of traffic flow.
关 键 词:智能交通 车道选择 动态博弈 车辆集群态势 驾驶倾向性
分 类 号:U491[交通运输工程—交通运输规划与管理]
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