本文選題：RFID + 城市道路交通�。� 參考：《重慶交通大學(xué)》2015年碩士論文

【摘要】：社會(huì)經(jīng)濟(jì)的快速發(fā)展使得我國(guó)正在進(jìn)入汽車時(shí)代,汽車保有量已過(guò)億,使得城市道路越發(fā)擁擠。為解決交通擁擠,需通過(guò)一定的檢測(cè)手段,檢測(cè)出當(dāng)前道路上流量、流速、密度等交通參數(shù),并通過(guò)這些參數(shù)來(lái)判斷當(dāng)前道路的交通狀態(tài),預(yù)測(cè)的未來(lái)交通狀態(tài),進(jìn)而誘導(dǎo)交通流,減少擁擠,控制和管理城市道路的交通狀況。目前交通參數(shù)的獲取主要通過(guò)地感線圈、雷達(dá)、紅外、浮動(dòng)車等檢測(cè)方式,需要高成本的安裝與維護(hù)、檢測(cè)范圍受到限制,提供的路網(wǎng)交通信息不夠全面等缺陷。射頻識(shí)別(RFID)技術(shù)作為交通領(lǐng)域較新的數(shù)據(jù)采集技術(shù),能夠快速的識(shí)別多個(gè)目標(biāo)、具有較強(qiáng)的抗干擾能力、容易安裝等優(yōu)勢(shì),可以采集車輛的速度、車牌、車主信息等,利用RFID技術(shù)采集交通參數(shù)是車路協(xié)同新領(lǐng)域探索的技術(shù)支撐。本文主要是實(shí)現(xiàn)將RFID檢測(cè)到的車輛到達(dá)信息到交通參數(shù)信息的轉(zhuǎn)換計(jì)算,計(jì)算不同交叉口的交通流的分流比例,通過(guò)分析交通參數(shù)、交叉口分流情況等基礎(chǔ)數(shù)據(jù)信息實(shí)現(xiàn)對(duì)道路上交通事件和道路擁擠狀況實(shí)時(shí)、有效的檢測(cè),并實(shí)現(xiàn)對(duì)未來(lái)短時(shí)間內(nèi)路段以及區(qū)域交通狀態(tài)的變化情況的預(yù)測(cè),具體內(nèi)容如下:交通參數(shù)信息的獲取與計(jì)算。了解研究不同檢測(cè)技術(shù)在檢測(cè)過(guò)程中采集數(shù)據(jù)類型和交通參數(shù)計(jì)算方法,分析其優(yōu)缺點(diǎn)。通過(guò)對(duì)交通流信息和城市道路交通信息采集技術(shù)框架的分析,根據(jù)RFID技術(shù)在檢測(cè)時(shí)獲取的數(shù)據(jù)特點(diǎn),分析其數(shù)據(jù)結(jié)構(gòu),構(gòu)建交通參數(shù)計(jì)算方法,以得到交通流量、流速、密度等交通參數(shù)信息。計(jì)算交叉口轉(zhuǎn)移流量。以幾何參數(shù)為基礎(chǔ)將交叉口分類,分析交叉口的交通特性。通過(guò)交叉口各入口和出口布設(shè)的RFID讀寫器檢測(cè)車流數(shù)據(jù),根據(jù)檢測(cè)到的數(shù)據(jù)信息,計(jì)算出交通流分流數(shù)據(jù),得到與交叉口相關(guān)路段中交通流的轉(zhuǎn)移情況,以及其他相關(guān)參數(shù),為后期的交通狀態(tài)預(yù)測(cè)提供依據(jù)。交通狀態(tài)的檢測(cè)與預(yù)測(cè)�？偨Y(jié)近年來(lái)交通狀態(tài)檢測(cè)預(yù)測(cè)算法,分析交通狀態(tài)評(píng)價(jià)指標(biāo),通過(guò)已測(cè)得的交通參數(shù)判斷路段當(dāng)前交通狀態(tài)。梳理各個(gè)路段之間交通量的轉(zhuǎn)移關(guān)系,根據(jù)RFID測(cè)得的歷史數(shù)據(jù)總結(jié)交通流的轉(zhuǎn)移規(guī)律,實(shí)現(xiàn)由當(dāng)前交通狀態(tài)對(duì)路段未來(lái)交通狀態(tài)的預(yù)測(cè)。
[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.
【學(xué)位授予單位】：重慶交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：U491;TP391.44

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相關(guān)期刊論文 前4條

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本文編號(hào)：2070266