【摘要】：當(dāng)今社會,城市化進(jìn)程的速度已經(jīng)達(dá)到難以置信的程度,越來越多的國家已經(jīng)意識到了交通對市場經(jīng)濟(jì)發(fā)展的重要性,各國紛紛將交通建設(shè)作為國家重點(diǎn)建設(shè)的內(nèi)容,更為重要的是,人民生活水平的提高以及城市的經(jīng)濟(jì)發(fā)展都與交通有著非常大的關(guān)系,伴隨著國民經(jīng)濟(jì)的快速發(fā)展,人民生活質(zhì)量穩(wěn)步提升,也就意味著社會生產(chǎn)生活成本的降低。在此同時,也帶來了眾多嚴(yán)重的社會問題,包括大氣污染、水污染等等,其中道路交通擁堵現(xiàn)象日益嚴(yán)峻,已經(jīng)成為阻礙經(jīng)濟(jì)持續(xù)發(fā)展的命脈。隨著交通難題的到來,世界各國紛紛意識到單純依靠傳統(tǒng)的交通控制和交通誘導(dǎo)方式已經(jīng)很難應(yīng)對越來越復(fù)雜多樣化的交通問題。智能交通系統(tǒng)正是在這種大背景下應(yīng)運(yùn)而生,各國投入智能交通系統(tǒng)上的研究力度越來越大,在解決交通問題方面提出了許多創(chuàng)新高效的新理論與實(shí)際結(jié)果。針對以往交通數(shù)據(jù)采集技術(shù)的瓶頸,本文首先介紹了浮動車數(shù)據(jù)作為當(dāng)今智能交通系統(tǒng)首選的數(shù)據(jù)源的優(yōu)點(diǎn),提出由程序方法獲取城市道路網(wǎng)絡(luò)數(shù)據(jù)的方法。在數(shù)據(jù)預(yù)處理和分析的基礎(chǔ)上,首先對居民出行規(guī)律進(jìn)行統(tǒng)計,分析得出基本符合無標(biāo)度特性的出行規(guī)律。針對現(xiàn)有浮動車地圖匹配算法在浮動車數(shù)據(jù)采樣率較低時錯誤率較高的情形,本文提出一種全局投票地圖匹配算法。該算法在浮動車GPS軌跡數(shù)據(jù)的基礎(chǔ)上,考慮道路網(wǎng)絡(luò)的拓?fù)浣Y(jié)構(gòu)和不同距離的相鄰的GPS軌跡點(diǎn)對地圖匹配過程的影響,在低采樣率的數(shù)據(jù)輸入能夠取得較高的準(zhǔn)確率。最后,針對浮動車本身的波動特性,本文在分析交通流信息中三大參數(shù)之間關(guān)系的基礎(chǔ)上,提出一種考慮加權(quán)的路段平均速度估計模型,模型避免了浮動車數(shù)據(jù)的波動性和少量異常數(shù)據(jù)對路段平均速度的錯誤影響,得出更能反映道路使用情況的路段平均速度。
[Abstract]:In today's society, the pace of urbanization has reached an incredible degree. More and more countries have realized the importance of traffic to the development of the market economy. More importantly, the improvement of the people's living standard and the economic development of the city have very great relations with the traffic. With the rapid development of the national economy, the people's quality of life has been steadily improved. It also means that the cost of living and production of society is reduced. At the same time, it also brings many serious social problems, including air pollution, water pollution and so on. With the arrival of traffic problems, countries all over the world have realized that relying solely on traditional traffic control and traffic guidance methods has become difficult to cope with more and more complex and diversified traffic problems. It is against this background that the intelligent transportation system (its) has been put into the research of intelligent transportation system (its) more and more, and many new theories and practical results have been put forward to solve the traffic problems. Aiming at the bottleneck of traffic data acquisition technology, this paper first introduces the advantages of floating vehicle data as the first choice data source of intelligent transportation system, and puts forward a method of obtaining urban road network data by program method. On the basis of data preprocessing and analysis, first of all, the travel law of residents is statistically analyzed, and the travel law which basically accords with the scale-free characteristic is obtained. This paper presents a global voting map matching algorithm in view of the fact that the existing floating vehicle map matching algorithm has a high error rate when the data sampling rate of the floating vehicle is low. Based on the GPS trajectory data of floating vehicle and considering the influence of road network topology and adjacent GPS locus points at different distances on the map matching process, the algorithm can achieve high accuracy in low sampling rate data input. Finally, based on the analysis of the relationship between the three parameters in the traffic flow information, a weighted average speed estimation model is proposed for the fluctuating characteristics of the floating vehicle. The model avoids the fluctuation of floating vehicle data and the wrong influence of a few abnormal data on the average speed of road section, and obtains the average speed of road section which can better reflect the road usage.
【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】：2015
【分類號】：U495

【共引文獻(xiàn)】

相關(guān)期刊論文 前3條

1 羅峗騫;湯錦輝;趙鐘磊;朱永文;董相均;;中國航空交通網(wǎng)絡(luò)時變和多層次特性分析[J];復(fù)雜系統(tǒng)與復(fù)雜性科學(xué);2014年04期

2 房翠翠;孫梅;張培培;高安娜;;A comparison of coal supply-demand in China and in the US based on a network model[J];Chinese Physics B;2013年10期

3 劉軍;熊慶宇;石欣;王楷;石為人;;Load-redistribution strategy based on time-varying load against cascading failure of complex network[J];Chinese Physics B;2015年07期

相關(guān)博士學(xué)位論文 前2條

1 苑衛(wèi)國;微博用戶行為分析和網(wǎng)絡(luò)結(jié)構(gòu)演化的研究[D];北京交通大學(xué);2014年

2 種鵬云;基于復(fù)雜網(wǎng)絡(luò)的危險品運(yùn)輸網(wǎng)絡(luò)拓?fù)涮匦�、級�?lián)失效機(jī)制及抗毀性研究[D];西南交通大學(xué);2015年

相關(guān)碩士學(xué)位論文 前1條

1 張永振;城市公交網(wǎng)絡(luò)模型及其基于流量信息的路徑搜索算法研究[D];浙江工業(yè)大學(xué);2013年

，

本文編號：2266285