本文選題：交通狀態(tài)判別 + 平均行程速度��； 參考：《吉林大學(xué)》2014年碩士論文

【摘要】：目前，隨著社會(huì)的進(jìn)步經(jīng)濟(jì)的發(fā)展，車輛保有率的逐年增長(zhǎng)，導(dǎo)致了交通需求快速增長(zhǎng)。另一方面由于受到多方面的限制，交通供給卻增長(zhǎng)較為緩慢。供給與需求發(fā)展的不均衡造成了當(dāng)下交通擁擠日趨常態(tài)化，而交通擁擠不僅導(dǎo)致了交通安全方面的諸多問(wèn)題，更是增加了車輛的延誤，尤其是城市道路中，對(duì)人們的出行帶來(lái)了諸多不便。因此，有必要分析交通擁擠機(jī)理，明確交通擁擠度程度，以便為交通控制，交通誘導(dǎo)以及規(guī)劃層面治理交通擁擠的手段方法提供前提條件以及可靠依據(jù)。本文在對(duì)比分析各交通狀態(tài)指標(biāo)的基礎(chǔ)上，選取了能夠科學(xué)反映區(qū)域宏觀狀態(tài)的指標(biāo)。由于宏觀指標(biāo)一般不能夠從檢測(cè)器數(shù)據(jù)直接獲得，因此本文建立了宏觀指標(biāo)與可獲取的交通參數(shù)之間的關(guān)系。根據(jù)上述內(nèi)容，本文具體研究如下： 第一章為緒論，，主要闡述了區(qū)域路網(wǎng)交通流狀態(tài)判別的研究背景，并分別從路段、交叉口層面和區(qū)域路網(wǎng)兩個(gè)層面出發(fā)，對(duì)國(guó)內(nèi)外相關(guān)研究現(xiàn)狀展開分析和研究，針對(duì)目前研究中所存在的問(wèn)題提出本論文研究的目的及意義，并進(jìn)一步確定了論文的結(jié)構(gòu)框架，為下文的展開奠定了基礎(chǔ)。 第二章為區(qū)域狀態(tài)指標(biāo)選取，在對(duì)前人相關(guān)研究分析的基礎(chǔ)上，對(duì)其研究中所采用的交通狀態(tài)指標(biāo)分別從實(shí)時(shí)性、可獲取性、準(zhǔn)確性和直觀性等方面進(jìn)行了分析，并以此為參考基礎(chǔ)選取區(qū)域狀態(tài)評(píng)價(jià)指標(biāo)。另外，對(duì)于檢測(cè)技術(shù)手段，本文對(duì)比分析了各檢測(cè)器的特點(diǎn)，在此基礎(chǔ)上對(duì)本文所用檢測(cè)數(shù)據(jù)類型做出了選擇。 第三章為區(qū)域行程速度估計(jì)，為了能夠通過(guò)一些可測(cè)的交通參數(shù)間接計(jì)算得到可準(zhǔn)確表征區(qū)域交通狀態(tài)的區(qū)域狀態(tài)指標(biāo)，即區(qū)域平均行程速度，本章探究了排隊(duì)長(zhǎng)度與區(qū)域平均行程速度的關(guān)系，建立了二者相關(guān)性模型，從而架起了可測(cè)參數(shù)與區(qū)域交通狀態(tài)指標(biāo)之間的橋梁，并對(duì)其進(jìn)行了仿真驗(yàn)證。 第四章為排隊(duì)長(zhǎng)度計(jì)算模型，為了將由線圈檢測(cè)器所采集到的地點(diǎn)交通流參數(shù)數(shù)據(jù)轉(zhuǎn)化為排隊(duì)長(zhǎng)度參數(shù)，進(jìn)而為行程速度估計(jì)模型提供必要的輸入?yún)⒘�。本章根�?jù)元胞傳輸模型（CTM）估計(jì)得到每個(gè)元胞的交通流密度，描述了交叉口處的車輛排隊(duì)演化過(guò)程，然后對(duì)隊(duì)尾單元格的車輛到達(dá)與離去情況進(jìn)行分析，對(duì)隊(duì)尾確切位置進(jìn)行了確定，在此基礎(chǔ)上獲得車輛的排隊(duì)長(zhǎng)度，并結(jié)合MATLAB編程語(yǔ)言和VISSIM交通流仿真軟件進(jìn)行了計(jì)算的簡(jiǎn)化和模型的驗(yàn)證。 第五章為總結(jié)與展望，針對(duì)本文的相關(guān)研究成果、創(chuàng)新點(diǎn)和對(duì)下一步研究工作展望進(jìn)行闡述。
[Abstract]:At present, with the development of society and economy, the vehicle retention rate increases year by year, which leads to the rapid growth of traffic demand. On the other hand, due to various constraints, traffic supply is growing slowly. The imbalance between supply and demand causes traffic congestion to become more and more regular, and traffic congestion not only leads to many problems in traffic safety, but also increases the delay of vehicles, especially in urban roads. It is inconvenient for people to travel. Therefore, it is necessary to analyze the mechanism of traffic congestion and make clear the degree of traffic congestion, so as to provide the precondition and reliable basis for the means of traffic control, traffic guidance and planning. On the basis of comparing and analyzing the traffic state indexes, this paper selects the indexes which can scientifically reflect the macroscopic state of the region. Because the macro index can not be obtained directly from the detector data, the relationship between the macro index and the available traffic parameters is established in this paper. According to the above contents, the specific research of this paper is as follows: The first chapter is the introduction, mainly elaborated the research background of the regional road network traffic flow state discrimination, and from the road section, the intersection level and the regional road network two levels, carries on the analysis and the research to the domestic and foreign related research present situation. The purpose and significance of this paper are put forward in view of the problems existing in the present research, and the structural framework of the thesis is further determined, which lays a foundation for the following work. The second chapter is the selection of regional state indicators. On the basis of previous research and analysis, the traffic state indicators used in the study are analyzed from the aspects of real-time, accessibility, accuracy and intuitiveness. On the basis of this reference, the evaluation index of regional state is selected. In addition, the characteristics of each detector are compared and analyzed, and the types of detection data used in this paper are selected. The third chapter is the estimation of regional travel speed. In order to get the regional state index which can accurately represent the regional traffic state by indirect calculation of some measurable traffic parameters, that is, the regional average travel speed, the regional average travel speed can be obtained. In this chapter, the relationship between queue length and regional average travel speed is explored, and the correlation model between them is set up, and the bridge between measurable parameters and regional traffic state index is set up and verified by simulation. The fourth chapter is the queue length calculation model, in order to convert the traffic flow parameters collected by the coil detector into queue length parameters, and then provide the necessary input parameters for the travel speed estimation model. In this chapter, the traffic density of each cell is estimated according to the Cellular Transport Model (CTM), and the evolution of the vehicle queue at the intersection is described, and then the arrival and departure of the vehicle in the trailing cell are analyzed. The exact position of the queue tail is determined and the queue length of the vehicle is obtained on the basis of which the calculation is simplified and the model is verified by combining the MATLAB programming language and the VISSIM traffic flow simulation software. The fifth chapter is the summary and prospect, aiming at the related research results, innovation points and the prospect of the next research.
【學(xué)位授予單位】：吉林大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：U491.1

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