Vehicle anti-collision algorithm based on vehicle to vehicle communication

Yourong CHEN; Jinhao WAN; Junjie CHEN; Tiaojuan REN

doi:10.11959/j.issn.1000-0801.2016289

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Vehicle anti-collision algorithm based on vehicle to vehicle communication

research and development | 更新时间：2024-06-05

- Vehicle anti-collision algorithm based on vehicle to vehicle communication
- Telecommunications Science Vol. 32, Issue 11, Pages: 32-41(2016)
- 作者机构：
  
  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
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2016289
  CLC： TP393
- Published Online：2016-11，
  
  Published：20 November 2016
- 稿件说明：
移动端阅览
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：

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.

摘要

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。

Abstract

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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Keywords

references

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