Cooperative Simulation Model for Driving Behavior Based on Cognition Activity Chain
-
摘要: 为向车辆控制系统和智能车辆的发展提供理论参考,用主成分分析法确定多源信息对驾驶员行为决策的影响系数,用模糊积分融合算法获得驾驶员任务集聚后车辆的运行模式,并按照认知活动链将该模糊积分融合算法与跟驰模型相结合,构建了基于认知活动链的驾驶员行为协调仿真模型.此外,采用五轮仪实验系统对淄博市张周路某路段的交通流数据进行了采集,用实测数据验证了模型的有效性.Abstract: To provide a theoretical reference for the development of advanced vehicle control systems and intelligent vehicles, the principal component analysis was used to determine the influence coefficient of multi-information on driving behavior decision-making, and the fuzzy integral fusion algorithm was applied to obtain the running pattern of a vehicle after the task concentration of the driver.The fuzzy integral fusion algorithm was combined with the car-following model to construct a cooperative simulation model for the driving behavior based on cognition activity chain.Finally, the validity of the cooperative simulation model was verified by the traffic data collected from Zhangzhou road in Zibo City using the five-wheel system.
-
Key words:
- driving behavior /
- raulti-infonnation fusion /
- car-following model /
- task concentration
-
王晓原.开发和评价ITS的微观交通流仿真模型[J].交通运输工程学报,2002,2(1):64-66.WANG Xiaoyuan.The development and evaluation of the microscopic traffic simulation model of the ITS[J].Journal of Traffic and Transportation Engineering,2002,2(1):64-66.[2] 刘运通,石建军,熊辉.交通系统仿真技术[M].北京:人民交通出版社,2002:23-48.[3] 王晓原.基于安全间距的车辆跟驰模型研究综述[J].长安大学学报,2004,24(6):51-55.WANG Xiaoyuan.Study on car-following model based on the secure space[J].Journal of Chang' an University,2004,24(6):51-55.[4] CHRISTOPH W.Asymptotic solution for a multi-anticipative car-following model[J].Physica A,1998,260(1-2):218-224.[5] RANNEY T A.Psychological factors that influence car-following and car-following model development[J].Transportation Research,Part F:Traffic psychology and Behaviour,1999,2(4):213-219.[6] HAGLUND M,ABERG L.Speed choice in relation to speed limit and influences from other drivers[J].Transportation Research,Part F:Traffic psychology and Behaviour,2000,3(1):39-51.[7] AMINI B,SHAHI J,ARDEKAHI S A.An observational study of the network-level traffic variables[J].Transportation Research,Part A:Policy and Practice,1998,32(4):271-278.[8] MARELL A,WESTIN K.Intelligent transportation system and traffic-safety drivers perception and acceptance of electronic speed checkers[J].Transportation Research,Part C:Emerging Technologies,1999,7 (2-3):131-147.[9] PETER W,PAUL E.Network interaction-a review of existing modeling techniques[J].Traffic Engineering Control,1999,40(2):81-82.[10] 刘同明.数据融合技术及其应用[M].北京:国防工业出版社,1998:63-87.[11] HALL D L.Mathematical techniques in multisension data fusion[M].Boston:Artch House,1994:51-58.[12] 罗积玉,邢英.经济统计分析方法及预测[M].北京:清华大学出版社,1985:107-124.[13] 胡宝清.模糊理论基础[M].武汉:武汉大学出版社,2004:26-49.[14] LEDOUX C.An urban traffic flow model integrative neural networks[J].Transportation Research,Part C:Emerging Technologies,1997,5 (5):287-300.[15] 王雷,王晓原.基于多源信息融合的驾驶员行为协同仿真算法研究[J].交通运输系统工程与信息,2006,6(1):86-90.WANG Lei,WANG Xiaoyuan.Cooperative sinulation algorithm of the driving behavior based on multi-information fusion[J].Journal of Transportation Systems Engineering and Infornation Technology,2006,6(1):86-90.[16] 王晓原,宿宝臣,孟昭为.微观交通仿真跟驰模型影响因子选择研究[J].软科学,2004,18(2):16-19.WANG Xiaoyuan.SU Baocheng.MENG Zhaowei.Study of the microscopic traffic simulation car-following model affecting the choice of the factor[J].Soft Science,2004,18 (2):16-19.
点击查看大图
计量
- 文章访问数: 1546
- HTML全文浏览量: 72
- PDF下载量: 429
- 被引次数: 0