二维码(扫一下试试看!) | 有人与无人驾驶车辆交叉口驾驶博弈模型 | A Driving Game Model for Manned and Unmanned Vehicles at Intersection | 投稿时间:2018-08-19 | DOI:10.15918/j.tbit1001-0645.2019.09.010 | 中文关键词:有人与无人驾驶车辆交叉口驾驶博弈冲突消解协调控制 | English Keywords:manned and unmanned vehiclesintersectiondriving gameconflict resolutioncoordination control | 基金项目:国家重点研发计划项目(2018YFB0105205);国家自然科学基金资助项目(51705021);天津市人工智能科技重大专项(17ZXRGGX00070);天津市企业科技特特派员项目(18JCTPJC3500) | | 摘要点击次数:913 | 全文下载次数:389 | 中文摘要: | 针对有人与无人驾驶车辆在交叉口存在冲突时的协调控制问题,引入智能网联车辆的设计思想,将交叉口存在交互行为的决策个体建模为博弈中的参与者,以冲突车辆的速度改变方案为博弈策略,构建双方的收益矩阵,而驾驶收益采用行车安全收益、行车效率收益和行车舒适性收益来计算,求解博弈模型的纳什均衡,作为双方的最优驾驶策略组合,完成交叉口多车冲突的协作优化.模型加入驾驶员类型的多样性模拟,基于Matlab对提出的算法进行验证,结果表明无人驾驶车辆会根据对方驾驶员行为调整自身的行为策略,与基于冲突表的协作算法对比,本算法的冲突消解所用时间更短,在确保安全的同时提高了冲突车辆通过路口的效率. | English Summary: | To make a coordinated control for the conflict between manned and unmanned vehicles at intersections, a coordination algorithm was designed based on game theory, regarding the manned and unmanned vehicles at intersections as participants in the game with the thought of intelligent connected vehicle. Firstly, taking the speed change scheme as the game strategy, a profit matrix was constructed for both sides. And then, driving revenue function was determined by introducing the benefits of driving safety, driving efficiency and driving comfort. The Nash equilibrium of the game model was solved as the optimal driving strategy combination of both sides to complete the collaborative optimization of multi-vehicle conflict at intersections. Finally, the diversity of driver types was introduced into the simulation model,validating the proposed algorithm with Matlab software. The simulation results show that, the unmanned vehicle can adjust its behavior strategy according to the behavior of human driver. Compared with conflict table algorithm, the coordination algorithm can reduce the time of conflict resolution obviously. It can be seen that the model not only effectively avoids the collision risk, but also improves crossing efficiency at intersections. | 查看全文查看/发表评论下载PDF阅读器 | |
吴鹏,孟祥远,王子晔,高建伟.基于神经动力学的冗余机械臂恒定转速比算法[J].北京理工大学学报(自然科学版),2019,39(10):1081~1085.WUPeng,MENGXiang-yuan,WANGZi-ye,GAOJian-wei.ConstantRotationRatioofRedund ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21张海鸣,龚建伟,陈建松,王羽纯.非结构化环境下无人驾驶车辆跟驰方法[J].北京理工大学学报(自然科学版),2019,39(11):1126~1132.ZHANGHai-ming,GONGJian-wei,CHENJian-song,WANGYu-chun.StudyofAutonomousVehic ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21.北京理工大学学报2019年总目次(第39卷)[J].北京理工大学学报(自然科学版),2019,39(12):1321~1338..[J].TransactionsofBeijingInstituteofTechnology,2019,39(12):1321-1338.二维码(扫一下试试看!)北京理 ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21赵凯,董明明,赵丰,秦也辰,刘锋,顾亮.基于车辆悬架振动响应的地面分类研究[J].北京理工大学学报(自然科学版),2018,38(2):155~159.ZHAOKai,DONGMing-ming,ZHAOFeng,QINYe-chen,LIUFeng,GULiang.StudyonTerrainCl ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21王震坡,薛雪,王亚超.基于自适应无迹卡尔曼滤波的分布式驱动电动汽车车辆状态参数估计[J].北京理工大学学报(自然科学版),2018,38(7):698~702.WANGZhen-po,XUEXue,WANGYa-chao.StateParameterEstimationofDistributedDr ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21.北京理工大学学报2018年总目次(第38卷)[J].北京理工大学学报(自然科学版),2018,38(12):1321~1338..[J].TransactionsofBeijingInstituteofTechnology,2018,38(12):1321-1338.二维码(扫一下试试看!)北京理 ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21刘静,侯宇,苏婷慧,张庆,邵毅敏.基于模块化设计的特种车辆减振降噪技术研究[J].北京理工大学学报(自然科学版),2018,38(S1):38~43.LIUJing,HOUYu,SUTing-hui,ZHANGQing,SHAOYi-min.StudyonVibrationControlandNoi ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21黄文彬,丁晓喜,杜明刚,邵毅敏.机械传动系统的智能感知技术[J].北京理工大学学报(自然科学版),2018,38(S1):33~37.HUANGWen-bin,DINGXiao-xi,DUMing-gang,SHAOYi-min.IntelligentSensingTechnologyforMech ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21刘勇.轮毂电机驱动多轴越野车辆总体技术探讨[J].北京理工大学学报(自然科学版),2018,38(S1):55~58.LIUYong.TheStudyonGeneralTechnologyofIn-WheelMotorDriveMultiaxisOff-RoadVehicle[J].Transact ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21郭志强,门日秀,闫柯,孙钰杰.特种车辆涡轮增压器内部流动特性分析[J].北京理工大学学报(自然科学版),2018,38(S1):59~62.GUOZhi-qiang,MENRi-xiu,YANKe,SUNYu-jie.AnalysisonInternalFlowCharacteristicsofSp ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21
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