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基于车路协同的车辆避撞方法 被引量:1

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摘要 交通事故一直是交通行业所面临的难题,车辆碰撞事故严重危害着行车的安全。文章针对车辆在行驶过程中易发生的碰撞事故,采用智能车路协同技术,建立了智能路侧系统和智能车载系统,并针对易发生碰撞的不同场景,开发了车路协同的避撞算法,使车辆在行驶过程中无论是路段还是交叉口,都可以实现避撞预警。通过实车实验验证,场景预警均可成功触发,达到成功避撞预警的目标,从而大大提高了行车过程中的安全性。 Traffic accident has always been a difficult problem faced by the transportation industry, vehicle collision accident seriously endangers the safety of driving. In this paper, in view of the collision accidents which are easy to occur in the course of vehicle driving, the intelligent road side system and intelligent vehicle system are established using the intelligent vehicle road cooperation technology, and the collision avoidance algorithm of vehicle road cooperation is developed according to the different scenes which are prone to collision. Thus, vehicles in the process of driving, whether at road sections or intersections, can achieve collision avoidance early warning. Through the real vehicle experiment, the scene early warning can be triggered successfully, and the goal of successful collision avoidance early warning can be achieved, which greatly improves the safety in the driving process.
出处 《科技创新与应用》 2019年第21期118-119,121,共3页 Technology Innovation and Application
关键词 车路协同 避撞预警 车联网 vehicle-road coordination collision avoidance early warning vehicle networking
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  • 1Kevin C. Lee, Uichin Lee, Mario Gerla, et al. Geo-Opportunistic Routing for Vehicular Networks[J]. IEEE Communications Magazine, 2010(5):164-170.
  • 2Hannes Hartenstein, Kenneth P. Laberteaux, et al. A Tutorial Survey on Vehicular Ad Hoc Networks [J]. IEEE Communications Magazine, 2008(6):164-171.
  • 3Zador P L,Krawchuk S A,Vocas R B.Final report-automotive collision avoidance program[R].American:NHTSA,2000.
  • 4西安交通大学人工智能与机器人研究所.智能车辆的研究目的和意义[EB/OL].[2005-11-18].http://iv.xjtu.edu.cn/research% 20background.htm.
  • 5Ronald Miller,Huang Qingfeng.An adaptive peer-to -peer collision warning system[C].// IEEE 55th Vehicular Technology Conference,2002:317-321.
  • 6Jeich Mar.The car-following and lane-changing collision prevention system based on the cascaded fuzzy inference system[J].IEEE Transactions on Vehicular Technology,2005,54(3):910 -911.
  • 7Yang Chih-Chung,Bose N K.Generating fuzzy membership function with self-organizing feature map[J].Pattern Recognition Letters,2006,27 (5):356-365.
  • 8宋超,刘明,龚海刚.基于车流信息的车载自组织网络路由协议[J].计算机应用研究,2009,26(12):4672-4675. 被引量:5
  • 9武锁宁.车联网:值得关注的课题[J].中国电信业,2010(8):17-19. 被引量:22
  • 10李鹏凯,杨晓光,吴伟,杨熙宇.车路协同环境下信号交叉口车速引导建模与仿真[J].交通信息与安全,2012,30(3):136-140. 被引量:31

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