基于车路协同安全距离模型的车速引导系统研究

发布时间：2018-05-19 22:36

本文选题：车路协同系统 + 跟驰　；参考：《北京交通大学》2014年硕士论文

【摘要】：摘要：道路安全始终是交通系统研究的焦点,驾驶员安全辅助、安全预防和安全管理等技术也是智能交通研究的重点,虽然我国在交通流诱导系统、先进的驾驶员信息系统和先进的车辆操控系统等交通安全方面进行了广泛的研究,但是,在信息不完备的情况下,一些关键技术还未能全面实现应用。本文通过研究交通系统中最为常见的跟驰行为,结合车路协同控制技术建立了基于车路协同安全距离模型的车速引导系统,首先对系统的功能需求、设计原则以及工作原理进行了介绍,并对系统的工作场景进行了描述。其次,论文根据车路协同系统优势和实际驾驶行为,对安全距离模型进行了改进,提出了基于车路协同的安全距离模型,通过前后车的位置信息结合地图匹配算法对前后车间距进行了估计,利用模糊识别理论对驾驶员的制动意图进行了识别,通过以上两种方法,对安全距离模型的相关参数进行了确定,计算出引导车速的最大值和最小值。最后,本文从车载单元、路侧单元和无线通信单元对车速引导系统的软硬件配置进行了详细的介绍,并对相关参数进行了验证,完成了动态交通信息的采集和融合,通过传感和无线通信等技术实现了车-车、车-路的实时信息交互,在北京交通大学思源楼北双向单车道道路进行了系统整体实验,经过试验结果分析,该系统具有较高的安全性,有利于减少司机误判、疲劳驾驶等主观因素造成的追尾事故,尤其在雾霾、雨、雪等视野不清晰的情况下,能够发挥重要的作用。
[Abstract]:Absrtact: road safety has always been the focus of traffic system research. Driver safety assistance, safety prevention and safety management are also the focus of intelligent traffic research. The advanced driver information system and the advanced vehicle control system have carried on the extensive research in the aspect of traffic safety, but in the situation of incomplete information, some key technologies have not been fully applied. This paper studies the most common car-following behavior in traffic system, and establishes a speed guidance system based on vehicle-road cooperative safety distance model combined with vehicle-road cooperative control technology. First of all, the function of the system is required. The design principle and working principle are introduced, and the working scene of the system is described. Secondly, according to the advantages of vehicle-road coordination system and actual driving behavior, the safe distance model is improved, and the safety distance model based on vehicle-road coordination is proposed. The distance between front and rear vehicles is estimated by the position information of the front and rear vehicles combined with the map matching algorithm, and the braking intention of the driver is recognized by using the fuzzy recognition theory. The related parameters of the safe distance model are determined and the maximum and minimum values of the guiding speed are calculated. Finally, this paper introduces the hardware and software configuration of the speed guidance system in detail from the vehicle unit, the road side unit and the wireless communication unit, and verifies the related parameters, and completes the collection and fusion of the dynamic traffic information. Through sensor and wireless communication technology, the real-time information exchange of vehicle-vehicle and vehicle-road is realized. The whole system experiment is carried out in the north of Siyuan Building, Beijing Jiaotong University, and the result of the experiment is analyzed. The system has high safety and is helpful to reduce the rear-end accidents caused by subjective factors such as driver misjudgment fatigue driving and so on. Especially in the case of unclear haze rain snow and other visual fields the system can play an important role.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U495

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