基于RFID的城市道路交通状态检测与预测方法研究

发布时间：2018-06-26 11:39

本文选题：RFID + 城市道路交通　；参考：《重庆交通大学》2015年硕士论文

【摘要】：社会经济的快速发展使得我国正在进入汽车时代,汽车保有量已过亿,使得城市道路越发拥挤。为解决交通拥挤,需通过一定的检测手段,检测出当前道路上流量、流速、密度等交通参数,并通过这些参数来判断当前道路的交通状态,预测的未来交通状态,进而诱导交通流,减少拥挤,控制和管理城市道路的交通状况。目前交通参数的获取主要通过地感线圈、雷达、红外、浮动车等检测方式,需要高成本的安装与维护、检测范围受到限制,提供的路网交通信息不够全面等缺陷。射频识别(RFID)技术作为交通领域较新的数据采集技术,能够快速的识别多个目标、具有较强的抗干扰能力、容易安装等优势,可以采集车辆的速度、车牌、车主信息等,利用RFID技术采集交通参数是车路协同新领域探索的技术支撑。本文主要是实现将RFID检测到的车辆到达信息到交通参数信息的转换计算,计算不同交叉口的交通流的分流比例,通过分析交通参数、交叉口分流情况等基础数据信息实现对道路上交通事件和道路拥挤状况实时、有效的检测,并实现对未来短时间内路段以及区域交通状态的变化情况的预测,具体内容如下:交通参数信息的获取与计算。了解研究不同检测技术在检测过程中采集数据类型和交通参数计算方法,分析其优缺点。通过对交通流信息和城市道路交通信息采集技术框架的分析,根据RFID技术在检测时获取的数据特点,分析其数据结构,构建交通参数计算方法,以得到交通流量、流速、密度等交通参数信息。计算交叉口转移流量。以几何参数为基础将交叉口分类,分析交叉口的交通特性。通过交叉口各入口和出口布设的RFID读写器检测车流数据,根据检测到的数据信息,计算出交通流分流数据,得到与交叉口相关路段中交通流的转移情况,以及其他相关参数,为后期的交通状态预测提供依据。交通状态的检测与预测。总结近年来交通状态检测预测算法,分析交通状态评价指标,通过已测得的交通参数判断路段当前交通状态。梳理各个路段之间交通量的转移关系,根据RFID测得的历史数据总结交通流的转移规律,实现由当前交通状态对路段未来交通状态的预测。
[Abstract]:The rapid development of social economy has made our country entering the era of automobile. The amount of car insured is over 100 million, which makes the city road more crowded. In order to solve the traffic congestion, the traffic parameters such as flow, velocity and density on the road must be detected by a certain measure, and the traffic state of the current road is judged through these parameters, and the prediction of the current road traffic condition is predicted. The future traffic conditions can induce traffic flow, reduce congestion, control and manage the traffic conditions of urban roads. At present, traffic parameters are obtained mainly through the detection methods such as ground sensing coil, radar, infrared, floating car and so on. It needs high cost installation and maintenance, the detection range is limited, and the traffic information of road network is not comprehensive enough. Radio frequency identification (RFID) technology, as a new data acquisition technology in the field of traffic, can quickly identify multiple targets, have strong anti-interference ability, easy to install and other advantages. It can collect vehicle speed, license plate, car owners information and so on. Using RFID technology to collect traffic parameters is the technical support of the new field of vehicle road cooperation. In order to realize the conversion calculation of the vehicle arrival information detected by RFID and the traffic parameter information, calculate the diverting proportion of the traffic flow at different intersection, through the analysis of the basic data information such as traffic parameters and intersection distributary, the real-time and effective detection of traffic events and road congestion are realized, and the future is realized. The changes in the time section and the regional traffic state are predicted. The specific contents are as follows: the acquisition and calculation of the traffic parameter information. To understand the method of collecting data types and traffic parameters in the detection process and analyzing the advantages and disadvantages of different detection techniques in the process of detection. The analysis of the frame, according to the data characteristics obtained by RFID technology in the detection, analysis of its data structure, construction of traffic parameters calculation method, to get traffic flow, flow rate, density and other traffic parameters, calculate the intersection transfer flow. Based on the geometric parameters, the intersection is classified and analyzed. Through the intersection of the traffic characteristics, through the intersection of the entrance of the entrance of each entrance. According to the detected data information, the traffic flow distributary data is calculated according to the detected data, and the transfer of traffic flow in the related sections of the intersection and other related parameters are obtained. The traffic state detection and prediction are provided for the traffic state detection in recent years. The traffic state inspection in recent years is summarized, and the traffic state inspection in recent years is summarized. The traffic state inspection is summarized in recent years. The prediction algorithm is used to analyze the traffic state evaluation index. Through the measured traffic parameters, the current traffic state of the section is judged. The transfer relation of traffic volume among various sections is combed. The transfer law of traffic flow is summarized according to the historical data measured by RFID, and the prediction of the future traffic state of the road is realized by the current traffic state.
【学位授予单位】：重庆交通大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491;TP391.44

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