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机构地区:[1]重庆交通大学机电与汽车工程学院,重庆400074
出 处:《北京工业大学学报》2016年第1期112-118,共7页Journal of Beijing University of Technology
基 金:重庆市科委科研资助项目(cstc2014jcyj A6007);国家博士后基金资助项目(2014M562259;XM2014084);山地城市交通系统与安全重庆市重点实验室开放基金资助项目(KTSS201305)
摘 要:为了解决车辆弯道行驶安全问题,在虚拟仪器Lab VIEW开发环境下设计了一套基于人车环境协同的车辆弯道行驶安全预警系统.通过分析影响车辆行驶安全性的人、车、路、环境等因素,运用层次分析法和权的最小平方法建立基于人-车-路-环境的车辆行驶安全度静态综合评价体系;引入安全系数k,结合车辆行驶安全临界车速和车辆行驶安全度评价模型,构建基于人车环境协同的车辆弯道行驶安全预警模型,运用Truck Sim仿真验证了模型的有效性.在虚拟仪器Lab VIEW开发环境下,设计了一套车辆弯道行驶安全预警系统,并进行了仿真验证.结果表明:该预警系统可对驶入弯道且有危险的车辆进行预警,能有效提高车辆行驶安全性.To solve the driving safety warning problem of vehicle on curve roads, a driving safety warning system of vehicle on curve roads based on driver-vehicle-environment synergy was designed with LabVIEW. The multi-level static comprehensive evaluation index system for driving safety was established by AHP and weighted least squares method. Meanwhile, the static factors of driver, vehicles, roads, environment impacting on safety were considered. The safety speed on curve based on vehicle dynamics and safety degree evaluation model were combined by the safety coefficient k. Then, the warning model based on driver-vehicle- environment synergy was built. The validity of model was verified with TruckSim. Finally, the driving safety warning system of vehicle on curve roads based on LabVIEW was designed. Besides ,the system was simulated. The results show that the warning system can judge and warn whether the vehicle is in safe or not when driving on curved roads. And it can improve the safety of the vehicle effectively.
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