基于GPS交通车辆监测诱导系统的应用研究

发布时间：2018-05-16 15:24

本文选题：GPS + 信号　；参考：《重庆交通大学》2014年硕士论文

【摘要】：随着我国改革开放的不断深入,国民经济快速发展。相随而来的则是交通流量的迅速增加;交通堵塞、交通事故、空气污染等现象相应恶化。推行智能诱导交通势在必行。由于智能交通集成各项新技术领域,发展迅速,但是目前的智能交通诱导大都为路径的诱导为主,对于影响驾驶员关键的因素速度和合理通过信号灯时的诱导是空白,对于这样的智能交通诱导系统的实用性和适用性是值得研究的课题。本文针对西宁市的交通通行能力差的情况以一个典型的拥堵路口为背景进行交通流量的研究和造成交通延误的原因分析。通过分析得到造成交通流量差和交通延误的原因主要是因为驾驶员对信号灯时判断上把握不准确的问题,从而造成的交通路口拥堵和延误。通过车载的GPS导航提供车辆运行位置、车辆运行路线、车辆速度的信号和路网中心的提供的该车所处位置和运行路线上的交通信号等灯时及时情况信息经行共享、运算和处理,将信息及时传递给用户,将卫星监测到GPS交通实时信息传输给交通路网中心,我们已知的数据(通过GPS收到的车辆的位置即路程),其次是信号灯时所剩余的时间(即通过路网中心采集的数据),来算出车辆如果在现在这个已知的路程和时间内需要通过需要多少速度,通过上述的路程和时间来算速度,当算出的速度小于60k/h就提醒驾驶员加速通过,当算出的速度超过60k/h就提醒驾驶员减速行驶。通过这种实时提醒来诱导驾驶员以最优方案通过交叉口并辅助绿波协调从而来提升交通能力。本文的研究成果可为西宁市交通的智能调度决策提供参考。
[Abstract]:With the deepening of China's reform and opening up, the national economy is developing rapidly. Traffic jams, traffic accidents, air pollution, etc. It is imperative to implement intelligent traffic guidance. Due to the rapid development of intelligent transportation integration in various new technical fields, but the current intelligent traffic guidance is mostly the guidance of the path, which is blank for the key factors affecting the speed of drivers and the reasonable passage of signal lights. The practicability and applicability of this intelligent traffic guidance system are worthy of study. In view of the poor traffic capacity in Xining, this paper studies the traffic flow in a typical congested intersection and analyzes the causes of traffic delay. Through the analysis, the main reason of the traffic flow difference and traffic delay is the problem that the driver holds the inaccurate judgment of the signal light, which results in the traffic intersection congestion and delay. The information of the vehicle running position, the vehicle route, the vehicle speed signal and the traffic signal on the vehicle location and route provided by the center of the road network are shared, calculated and processed through the GPS navigation on the vehicle. The information is transmitted to the user in time, and the real-time information from the satellite monitoring to the GPS traffic network is transmitted to the traffic network center. The data we know (the location of the vehicle received through GPS is the distance), followed by the time remaining in the signal light (that is, the data collected through the center of the road network), to calculate the vehicle's current known distance and time. How much speed is needed inside, When the calculated speed is less than 60k/h, the driver is advised to speed up, and when the calculated speed exceeds 60k/h, the driver is advised to slow down. This kind of real-time reminder can induce the driver to use the optimal scheme to pass through the intersection and assist the green wave coordination to improve the traffic capacity. The research results of this paper can provide reference for intelligent dispatching decision of Xining traffic.
【学位授予单位】：重庆交通大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U495

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