基于车路协同的车辆追尾预警系统的研究与实现

发布时间：2018-02-03 19:17

本文关键词： 车路协同追尾预警安全距离误差补偿　出处：《长安大学》2016年硕士论文　论文类型：学位论文

【摘要】：道路交通安全问题一直是社会关注的重点,与其相关的先进安全技术研究日益受到重视。基于车路协同安全辅助技术是智能交通中的一项重要研究内容,可以使驾驶人员在超视距范围内获得其他车辆的行驶信息和路况信息。本文以基于车路协同的车辆追尾预警系统为研究对象,对实现基于车路协同的车辆追尾预警系统功能所涉及的安全距离模型、无线通信方法、系统平台开发等进行了研究,设计实现了基于车路协同的车辆追尾预警系统。本文在分析车路协同系统和安全距离模型的国内外研究现状的基础上,对基于车路协同的安全距离模型进行了深入的研究。首先,深入分析了车车、车路通信中信息传播的特点,研究了车路协同追尾预警系统中信息传输延时的成因,建立了追尾预警系统的信息传输延时模型。其次,针对安全距离受路面状况、GPS误差和信息传播延时影响的问题,本文在传统运动学模型的基础上提出了一种多源混合误差补偿的最小安全距离模型,通过仿真验证了模型的有效性。本文对追尾预警系统架构进行了研究,搭建了基于DSRC通信技术的车路协同追尾预警系统,开发了Linux环境下的交互软件和Android环境下的追尾预警软件。在真实车路协同场景下,利用该系统对本文设计的最小安全距离模型的有效性进行了测试,并对车辆在不同行驶状态下系统追尾预警的准确性进行了测试。测试结果表明,在前车静止、匀减速和以最大减速度减速三种情况下,多源混合误差补偿的最小安全距离模型计算的安全距离相对于车路协同环境下车辆紧急制动距离的平均误差为0.97米。基于车路协同的追尾预警系统的平均误报警率为3%,满足实际需求。
[Abstract]:The problem of road traffic safety has always been the focus of attention of the society, and the research of advanced safety technology related to it has been paid more and more attention. It is an important research content of intelligent transportation based on vehicle-road cooperative safety assistance technology. The driver can obtain the driving information and road condition information of other vehicles within the range of over-the-horizon. This paper takes the vehicle rear-end warning system based on vehicle-road coordination as the research object. The security distance model, wireless communication method, system platform development and so on, which are involved in realizing the function of vehicle rear-end early warning system based on vehicle-road coordination are studied. A vehicle rear warning system based on vehicle-road coordination is designed and implemented. This paper analyzes the research status of vehicle-road coordination system and safety distance model at home and abroad. The safety distance model based on vehicle-road cooperation is deeply studied. Firstly, the characteristics of information transmission in vehicle-road communication are analyzed. This paper studies the cause of information transmission delay in the vehicle road cooperative rear-end early warning system, and establishes the information transmission delay model of the rear-end warning system. Secondly, according to the road condition of safety distance. On the basis of the traditional kinematics model, this paper presents a minimum safe distance model with multi-source mixed error compensation for the influence of GPS error and information propagation delay. The effectiveness of the model is verified by simulation. This paper studies the framework of the rear-end early warning system and builds a vehicle-road cooperative rear-end early warning system based on DSRC communication technology. The interactive software in Linux environment and the rear-end warning software in Android environment are developed. The validity of the minimum safe distance model designed in this paper is tested by this system, and the accuracy of the system rear-end warning is tested under different driving conditions. The test results show that the vehicle is stationary in front of the vehicle. Even deceleration and deceleration with maximum deceleration in three cases. The average error of the safety distance calculated by the minimum safety distance model with multi-source hybrid error compensation is 0.97 meters relative to the vehicle emergency braking distance in the vehicle-road cooperative environment. The average error of the rear-end early warning system based on the vehicle-road coordination is 0.97 meters. The false alarm rate is 3%. Meet the actual needs.
【学位授予单位】：长安大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：U463.6;TP277

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