基于碰撞点时间估计的车辆碰撞预警算法
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摘要
针对十字路口处的车辆碰撞现象,提出一种基于碰撞点时间估计的车辆碰撞预警算法,以降低交通事故发生概率,提高十字路口处车流的流畅程度。在考虑交通信号灯控制的情况下,分析十字路口处车辆碰撞的不同场景,并给出碰撞点位置和车辆到达碰撞点时间的估计方法。MATLAB实验结果验证了该算法的正确性和可行性,同时表明车辆速度和位置的变化都会对车辆碰撞情况造成影响。
Aiming at the collision of vehicles at intersection,a vehicular collision waring algorithm based on Time to Collision Point(TTCP) estimation is proposed to decrease the probability of traffic accidents and improve the smoothness of vehicular traffic flow at the road intersection. Different scenarios are analyzed for vehicular collision at the road intersection,which is influenced by the operation of traffic lights. The formulae of the collision point coordinate and TTCP are proposed for different cases respectively. The correctness and feasibility of the theory are verified by using MATLAB experimental simulation,and the results also show that the change of vehicle speed and position affects the vehicle collision.
Aiming at the collision of vehicles at intersection,a vehicular collision waring algorithm based on Time to Collision Point(TTCP) estimation is proposed to decrease the probability of traffic accidents and improve the smoothness of vehicular traffic flow at the road intersection. Different scenarios are analyzed for vehicular collision at the road intersection,which is influenced by the operation of traffic lights. The formulae of the collision point coordinate and TTCP are proposed for different cases respectively. The correctness and feasibility of the theory are verified by using MATLAB experimental simulation,and the results also show that the change of vehicle speed and position affects the vehicle collision.
引文
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[2]SIMON M K,SMITH J.Hexagonal multiple phase-andamplitudeshift-keyed signal sets[J].IEEE Transactions on Communications,1973,21(10):1108-1115.
[3]YE F,ADAMS M,ROY S.V2V wireless communication protocol for rear-end collision avoidance on highways[C]//Proceedings of ICC Workshops’08.Washington D.C.,USA:IEEE Press,2008:375-379.
[4]MILANES V,VILLAGRA J,GODOY J,et al.An intelligent V2I-based traffic management system[J].IEEE Transactions on Intelligent Transportation Systems,2012,13(1):49-58.
[5]梁军,陈小波,程显毅,等.基于MAS和驾驶员行为的追尾预警模型[J].计算机工程,2009,35(10):176-178.
[6]LEE D N.A theory of visual control of braking based on information about time-to-collision[J].Perception,1976,5(4):437-459.
[7]VAN WINSUM W,HEINO A.Choice of time-headway in car-following and the role of time-to-collision information in braking[J].Ergonomics,1996,39(4):579-592.
[8]VAN WINSUM W.The human element in car following models[J].Transportation Research,Part F:Traffic Psychology and Behaviour,1999,2(4):207-211.
[9]LI Y,ZHANG L,PEETA S,et al.Non-lane-disciplinebased car-following model considering the effects of two-sided lateral gaps[J].Nonlinear Dynamics,2015,80(1/2):227-238.(下转第63页)57
[10]JIN S,WANG D H,YANG X R.Non-lane-based carfollowing model with visual angle information[J].Transportation Research Record:Journal of the Transportation Research Board,2011(2249):7-14.
[11]HUANG C M,LIN S Y.An advanced vehicle collision warning algorithm over the DSRC communication environment:an advanced vehicle collision warning algorithm[C]//Proceedings of the 27th International Conference on Advanced Information Networking and Applications.Washington D.C.,USA:IEEE Press,2013:696-702.
[12]刘明剑,谭国真,钱经纬.基于交叉路口道路时空网格的车辆碰撞预警方法研究[J].北京邮电大学学报,2015,38(2):38-44.
[13]钱经纬.交通路口基于时空网格的车辆碰撞预警方法[D].大连:大连理工大学,2014.
[14]LI Y,ZHANG L,SONG Y.A vehicular collision warning algorithm based on the time-to-collision estimation under connected environment[C]//Proceedings of the 14th International Conference on Control,Automation,Robotics and Vision.Washington D.C.,USA:IEEE Press,2016:1-4.
[15]SENGUPTA R,REZAEI S,SHLADOVER S E,et al.Cooperative collision warning systems:concept definition and experimental implementation[J].Journal of Intelligent Transportation Systems,2007,11(3):143-155.
[16]胡良剑,孙晓君.MATLAB数学实验[M].北京:高等教育出版社,2013.
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