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1. 浙江树人大学信息科技学院,浙江 杭州 310015
2. 常州大学信息科学与工程学院,江苏 常州 213164
[ "陈友荣(1982-),男,博士,浙江树人大学信息科技学院副教授,常州大学信息科学与工程学院硕士生导师,主要研究方向为无线传感网和物联网。" ]
[ "万锦昊(1994-),男,常州大学信息科学与工程学院硕士生,主要研究方向为无线传感网和车联网。" ]
[ "陈俊洁(1995-),女,浙江树人大学信息科技学院本科在读,主要研究方向为车联网算法仿真。" ]
[ "任条娟(1965-),女,浙江树人大学信息科技学院院长、教授,主要研究方向为无线传感网和车联网。" ]
网络出版日期:2016-11,
纸质出版日期:2016-11-20
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陈友荣, 万锦昊, 陈俊洁, 等. 基于车车通信的车辆防碰撞算法[J]. 电信科学, 2016,32(11):32-41.
Yourong CHEN, Jinhao WAN, Junjie CHEN, et al. Vehicle anti-collision algorithm based on vehicle to vehicle communication[J]. Telecommunications science, 2016, 32(11): 32-41.
陈友荣, 万锦昊, 陈俊洁, 等. 基于车车通信的车辆防碰撞算法[J]. 电信科学, 2016,32(11):32-41. DOI: 10.11959/j.issn.1000-0801.2016289.
Yourong CHEN, Jinhao WAN, Junjie CHEN, et al. Vehicle anti-collision algorithm based on vehicle to vehicle communication[J]. Telecommunications science, 2016, 32(11): 32-41. DOI: 10.11959/j.issn.1000-0801.2016289.
为了提前预测车辆碰撞事故和降低碰撞事故发生概率,提出了基于车车通信的车辆防碰撞算法(VACA)。VACA根据自身和周围邻居车辆的北斗位置坐标,在水平和垂直两个方向上分别采用Kalman预测算法预测下一时刻的车辆行驶状态,采用数据预判断方法直接确定一定发生碰撞或不发生碰撞的情况。当不能直接判断时,则计算加速度可变下的安全距离,建立和求解碰撞状态预测模型,获得碰撞预测时间最小值。如果该最小值小于阈值,则发出报警信号提醒驾驶员。仿真结果表明,与基于车辆间通信的智能防碰撞报警模型(IVCWM)和车辆提前预警的防碰撞算法(ECWA)比较,VACA可提前发现碰撞情况,而且更准确,有一定的应用价值。
In order to improve the accuracy of predicting vehicle collision accidents and reduce the probability of collision accidents
vehicle anti-collision algorithm(VACA)based on vehicle to vehicle communication was proposed.According to Beidou location coordinates of vehicle itself and other vehicles in the vicinity
VACA used Kalman prediction algorithm to predict next vertical and horizontal locations of vehicles.VACA used data prejudge method to directly judge whether collision will happen.When it could't be directly judged
safe distance with variable acceleration was calculated
and collision state prediction model was established and solved
then minimum collision prediction time could be obtained.If the minimum time was less than threshold value
alarm signal would be sent to remind driver.Simulation results show that compared with IVCWM and ECWA
VACA can predict collision accident more accurately and has certain application value.
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YIN X Q , ZHU X H , ZHANG P P , et al . A study on the design and control of vehicle rear-end collision avoidance system in freeway [J ] . Automotive Engineering , 2014 , 36 ( 9 ): 1080 - 1084 .
迟瑞娟 , 肖庆 , 丁洁云 . 基于风险状态预估的弯道车辆前撞报警算法 [J ] . 中国公路学报 , 2013 , 26 ( 4 ): 146 - 153 .
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DABBOUR E , EASA S . Proposed collision warning system for right-turning vehicles at two-way stop-controlled rural intersections [J ] . Transportation Research Part C , 2014 , 42 ( 42 ): 121 - 131 .
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胡鸿豪 , 李磊 . 基于灰色模糊理论汽车防撞系统的仿真研究 [J ] . 系统仿真学报 , 2013 , 25 ( 11 ): 2091 - 2099 .
HU H H , LI L . Simulation study of vehicle collision avoidance system based on grey and fuzzy theory [J ] . Journal of System Simulation , 2013 , 25 ( 11 ): 2091 - 2099 .
HUANG C M , LIN S Y . An early collision warning algorithm for vehicles based on V2V communication [J ] . International Journal of Communication Systems , 2012 , 25 ( 6 ): 779 - 795 .
LIU Y Y , LIAN B W , ZHAO H W , et al . Indoor pseudolite relative localization algorithm with Kalman lter [J ] . Acta Physica Sinica , 2014 , 63 ( 22 ): 1 - 7 .
王登贵 , 张敬东 , 张健 , 等 . 车辆纵向安全距离算法及其防撞预警系统研究 [J ] . 计算机测量与控制 , 2014 , 22 ( 7 ): 2203 - 2205 , 2222 .
WANG D G , ZHANG J D , ZHANG J , et al . Research on vehicle vertical safety distance algorithm and anti-collision alarm system [J ] . Computer Measurement &Control , 2014 , 22 ( 7 ): 2203 - 2205 , 2222 .
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