欢迎访问《汽车安全与节能学报》，
汽车安全与节能学报

JASE ›› 2019, Vol. 10 ›› Issue (2): 178-183.DOI: 10.3969/j.issn.1674-8484.2019.02.005

• 汽车安全 • 上一篇    下一篇

考虑路面附着因数的车辆向前碰撞预警时间的优化算法

尹小庆，汪  浩，莫宇迪，胡攀峰   

  1. （重庆大学 机械工程学院， 重庆40044，中国）
  • 收稿日期:2018-07-30 出版日期:2019-06-29 发布日期:2019-07-05
  • 作者简介:尹小庆(1969—)，男( 汉)，四川，副教授。E-mail: xqyin@cqu.edu.cn。
  • 基金资助:

    重庆市科委科技计划攻关重点项目(0209002432032)。

Optimized algorithm for vehicle forward collision pre-warning time considering road adhesion coefficient

YIN Xiaoqing, WANG Hao, MO Yudi, HU Panfeng   

  1. (College of Mechanical Engineering, Chongqing University, Chongqing 400044, China)
  • Received:2018-07-30 Online:2019-06-29 Published:2019-07-05

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摘要：

       为有效避免碰撞事故，提高向前碰撞预警时间(CPWT)的准确率和通行效率，提出一种考 虑路面附着因数和车辆行驶状态的即碰时间(TTC)预警方法。利用改进双指数模型，获取不同路面 状况下车辆附着系数；根据前车分别处于静止、匀速、匀加速和变加速直线运动等不同行驶状态，构 建了对应的考虑路面附着因数的向前CPWT 模型；利用Matlab/ Simulink软件进行仿真。用该算法 分析了前车和跟驰车辆处于不同行驶状态下，积雪路面、潮湿路面、干燥路面的CPWT。结果表明： 与其他预警方法相比，该CPWT方法对车辆碰撞预警更加合理有效。因此，该方法可为自动驾驶和 车辆预警提供理论支撑。

关键词: 汽车主动安全 , 车辆碰撞预警 , 碰撞预警时间(CPWT) , 即碰时间(TTC) , 路面附着因数 ,  , 行驶状态

Abstract:

 A time to collision (TTC) warning method was proposed considering road adhesion factor and vehicle driving state to effectively avoid collision accidents and improve the accuracy and efficiency of forward collision pre-warning time (CPWT). An improved dual-exponential model was used to obtain the vehicle adhesion coefficient under different road conditions. A CPWT model was constructed considering road adhesion factor, according to the different driving states of the front vehicle, such as static, uniform speed, uniform acceleration, and variable acceleration linear motion. The CPWTs of car-following forward were simulated by using MATLAB/Simulink. The CPWT algorithm was used to analyze the CPWT for the front vehicle and the following vehicle driving on the snowy roads, wet roads and dry roads and in different driving states. The results show that the CPWT model is more reasonable and effective compared with other collision pre-warning methods. Therefore, the CPWT method can provide a theoretical support for automatic driving and vehicle warning.

Key words: vehicle active safety , vehicle collision warning ,  collision pre-warning time (CPWT) ,  time to collision (TTC) ,  adhesion coefficient of pavement , driving state