本文選題：路網(wǎng)交通狀態(tài)　切入點(diǎn)：馬爾可夫　出處：《浙江工業(yè)大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：目前城市交通擁堵情況日趨嚴(yán)重,已經(jīng)從單一路段或交叉口的擁堵演變成區(qū)域路網(wǎng)的擁堵。及時獲取路網(wǎng)交通信息,掌握路網(wǎng)交通狀態(tài),篩選出對路網(wǎng)運(yùn)行效率有重要影響的關(guān)鍵交叉口,并對這些關(guān)鍵交叉口優(yōu)先采取管控措施,可以將交通擁堵狀況產(chǎn)生的影響控制在一定范圍之內(nèi)。針對路網(wǎng)交通狀態(tài)判別問題,本文提出一種基于馬爾可夫過程的路網(wǎng)交通狀態(tài)預(yù)測方法,基于PageRank算法,提出一種判別交叉口重要性排名的算法,最后利用ArcGIS Engine,將路網(wǎng)交通信息在地圖上進(jìn)行顯示。主要工作如下：1、利用馬爾可夫過程預(yù)測路網(wǎng)的交通狀況。本文通過結(jié)合馬爾可夫過程,利用其狀態(tài)只與當(dāng)前狀態(tài)有關(guān)、與過去狀態(tài)無關(guān),對路網(wǎng)中交叉口的交通狀態(tài)進(jìn)行預(yù)測分析。然后參照模糊綜合評價法,結(jié)合交叉口的歷史狀態(tài)、預(yù)測狀態(tài)及其類型信息,對路網(wǎng)交通狀態(tài)做出判斷,獲得表征路網(wǎng)整體運(yùn)行狀態(tài)的指標(biāo)。2、基于PageRank算法對交叉口的重要性排名進(jìn)行分析。PageRank算法最早應(yīng)用在網(wǎng)頁排序方面,利用網(wǎng)頁間的相互連接及影響關(guān)系來判斷網(wǎng)頁的重要性程度。本文通過改進(jìn)PageRank算法,提出一種基于路網(wǎng)交叉口交通流量及相互影響關(guān)系的交叉口重要性排名算法,該算法能夠?qū)β肪W(wǎng)中關(guān)鍵交叉口進(jìn)行篩選,以便及時對其進(jìn)行管控,緩解其交通擁堵狀況。3、將路網(wǎng)的交通狀況及信息進(jìn)行可視化。本文利用C#作為開發(fā)語言,使用ArcGIS Engine作為開發(fā)工具,設(shè)計了城市路網(wǎng)的交通信息可視化系統(tǒng)。該系統(tǒng)能夠在地圖上對路網(wǎng)交通信息進(jìn)行可視化顯示,并通過teechart圖表功能將交通信息進(jìn)行形象化地展示。該系統(tǒng)能夠?qū)崟r地對路網(wǎng)交通信息進(jìn)行判別,方便使用者了解交通信息,同時該系統(tǒng)還具有生成地圖圖片、地圖專題圖等功能。
[Abstract]:At present, the situation of urban traffic congestion is becoming more and more serious, which has changed from the congestion of a single section or intersection to the congestion of the regional road network. Get the traffic information of the road network in time and master the traffic state of the road network. The key intersections which have important influence on the efficiency of road network operation are screened out, and these key intersections are given priority control measures. The influence of traffic congestion can be controlled within a certain range, aiming at the problem of road network traffic state discrimination. In this paper, a method of road network traffic state prediction based on Markov process is proposed. Based on PageRank algorithm, an algorithm for judging the rank of intersection importance is proposed. Finally, using ArcGIS engineer, the road network traffic information is displayed on the map. The main work is as follows: 1, using Markov process to predict the traffic condition of road network. The traffic state of intersections in the road network is forecasted and analyzed, which has nothing to do with the past state, and then the traffic state of the road network is judged by referring to the fuzzy comprehensive evaluation method and combining the historical state of the intersection with the forecast state and its type information. The index. 2 is obtained to represent the overall running state of the road network. Based on the PageRank algorithm, the importance rank of intersection is analyzed. PageRank algorithm is first used in web page ranking. In order to judge the importance of web pages, the importance of web pages is judged by the connection and influence relationship between web pages. In this paper, an algorithm for ranking the importance of intersections based on traffic flow and interaction between intersections is proposed by improving the PageRank algorithm. The algorithm can screen key intersections in road network in order to control them in time, alleviate traffic jams. 3, and visualize traffic situation and information of road network. This paper uses C # as the development language. Using ArcGIS Engine as the development tool, the traffic information visualization system of urban road network is designed, which can visualize the road network traffic information on the map. The system can distinguish the road network traffic information in real time, which is convenient for users to understand the traffic information, at the same time, the system also has the ability to generate map pictures. Map thematic map and other functions.
【學(xué)位授予單位】：浙江工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：U491;TP391.41

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相關(guān)期刊論文 前1條

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本文編號：1630026