【摘要】：隨著城市化進(jìn)程的加快，交通問(wèn)題已經(jīng)成為經(jīng)濟(jì)社會(huì)發(fā)展中不得不面對(duì)的重要問(wèn)題。我國(guó)經(jīng)濟(jì)社會(huì)的發(fā)展和人民生活水平的不斷提高，出租車(chē)與小轎車(chē)等交通工具數(shù)量迅速增加，這為人們提供便利的同時(shí)，也帶來(lái)了交通擁堵、交通事故的問(wèn)題，嚴(yán)重影響了人們出行與生活的質(zhì)量。 城市智能交通引導(dǎo)系統(tǒng)的研究與開(kāi)發(fā)，期望能夠最大限度的改變交通擁堵的局面，充分利用交通設(shè)施和交通引導(dǎo)系統(tǒng)的智能處理，為出行者提供準(zhǔn)確有效的交通信息，同時(shí)結(jié)合當(dāng)前交通路況信息為用戶提供到達(dá)目的地的更加合理的出行線路，從而引導(dǎo)交通流量合理分布，避免交通擁堵。 車(chē)輛交通數(shù)據(jù)是進(jìn)行判別道路交通狀況的基本依據(jù)，也是實(shí)現(xiàn)車(chē)輛交通引導(dǎo)的數(shù)據(jù)基礎(chǔ)。本文的研究重點(diǎn)是對(duì)城市交通引導(dǎo)系統(tǒng)中交通數(shù)據(jù)的處理優(yōu)化，提出易于實(shí)現(xiàn)的數(shù)據(jù)預(yù)處理方法，通過(guò)數(shù)據(jù)采樣算法對(duì)交通數(shù)據(jù)進(jìn)行加工，提取交通流量、道路行車(chē)時(shí)間等交通信息，從而為交通引導(dǎo)系統(tǒng)中功能模塊的實(shí)現(xiàn)提供數(shù)據(jù)支持； 另外，結(jié)合MapInfo電子地圖數(shù)據(jù)結(jié)構(gòu)，提出了適用于交通引導(dǎo)系統(tǒng)的地圖匹配問(wèn)題解決方案。利用地圖匹配算法，，將車(chē)輛行駛數(shù)據(jù)與地理空間信息有效聯(lián)系起來(lái)，解決了車(chē)輛位置在電子地圖中顯示存在的定位誤差問(wèn)題。并提出了基于車(chē)輛行駛方向與行駛軌跡的地圖匹配改進(jìn)算法，優(yōu)化交通引導(dǎo)系統(tǒng)的性能。 在完成以上對(duì)系統(tǒng)交通數(shù)據(jù)處理的基礎(chǔ)上，本文對(duì)智能交通引導(dǎo)系統(tǒng)的開(kāi)發(fā)提出了整體設(shè)計(jì)方案，介紹了系統(tǒng)交通數(shù)據(jù)庫(kù)的搭建方法，并對(duì)交通引導(dǎo)系統(tǒng)主要功能模塊的實(shí)現(xiàn)進(jìn)行了展示。
[Abstract]:With the acceleration of urbanization, traffic has become an important problem in economic and social development. With the development of our country's economy and society and the continuous improvement of people's living standard, the number of vehicles such as taxis and cars is increasing rapidly, which provides convenience for people, but also brings problems of traffic congestion and traffic accidents. Has seriously affected the people travel and the quality of life. The research and development of urban intelligent traffic guidance system is expected to maximize the change of traffic congestion situation, make full use of the intelligent handling of traffic facilities and traffic guidance system, and provide accurate and effective traffic information for travelers. At the same time combined with the current traffic information to provide users with a more reasonable route to the destination so as to guide the rational distribution of traffic flow and avoid traffic congestion. The vehicle traffic data is the basic basis for judging the road traffic condition and the data base for realizing the vehicle traffic guidance. The research emphasis of this paper is to optimize the traffic data processing in the urban traffic guidance system, put forward the data preprocessing method which is easy to realize, process the traffic data through the data sampling algorithm, and extract the traffic flow. The traffic information, such as road driving time, provides data support for the realization of the function module in the traffic guidance system. In addition, combined with MapInfo electronic map data structure, a map matching solution for traffic guidance system is proposed. By using the map matching algorithm, the vehicle driving data and the geospatial information are connected effectively, which solves the problem of the location error of the vehicle position displayed in the electronic map. An improved map matching algorithm based on vehicle driving direction and track is proposed to optimize the performance of traffic guidance system. On the basis of the above data processing, this paper puts forward the overall design scheme for the development of intelligent traffic guidance system, and introduces the method of building the system traffic database. The realization of the main function modules of the traffic guidance system is also presented.
【學(xué)位授予單位】：河南科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：U495

【參考文獻(xiàn)】

相關(guān)期刊論文 前6條

1 陳旭梅,于雷,郭繼孚,全永q

本文編號(hào)：2336206