發(fā)布時(shí)間：2018-01-04 01:08

  本文關(guān)鍵詞：Urban Taxi時(shí)空特征大數(shù)據(jù)可視交通態(tài)勢(shì)融合處理系統(tǒng)關(guān)鍵技術(shù)　出處：《山東大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 導(dǎo)航定位 態(tài)勢(shì)融合 安全可視 動(dòng)態(tài)路徑

【摘要】：出租車是城市流動(dòng)文明窗口,反應(yīng)出一個(gè)城市的交通系統(tǒng)的發(fā)展水平,如何降低出租車空駛率,減少?gòu)U氣排放,獲取城市動(dòng)態(tài)實(shí)時(shí)交通流、車輛安全可視、規(guī)劃乘客出行路線成為當(dāng)前提高出租車信息化服務(wù)亟需解決的問題,國(guó)家十二五規(guī)劃中提出交通信息化是國(guó)家優(yōu)先發(fā)展的物聯(lián)網(wǎng)的第二主題領(lǐng)域,因此,交通信息化相關(guān)問題成為當(dāng)前國(guó)內(nèi)外研究的熱點(diǎn)。導(dǎo)航和電子地圖的迅速發(fā)展與應(yīng)用,為實(shí)時(shí)路況的實(shí)現(xiàn)提供了數(shù)據(jù)來源和技術(shù)支撐。本文通過分析與大數(shù)據(jù)可視交通態(tài)勢(shì)融合處理相關(guān)的基礎(chǔ)理論和相關(guān)技術(shù),針對(duì)出租車的精確導(dǎo)航定位、安全可視和大數(shù)據(jù)交通態(tài)勢(shì)融合問題,設(shè)計(jì)了出租車導(dǎo)航定位和視頻采集監(jiān)視終端,提出了時(shí)空特征大數(shù)據(jù)可視交通態(tài)勢(shì)融合處理方法,通過車載導(dǎo)航和圖像采集終端與后臺(tái)的交互,實(shí)現(xiàn)時(shí)空特征大數(shù)據(jù)的可視交通態(tài)勢(shì)融合,實(shí)現(xiàn)了擁堵路況的可視呈現(xiàn),為分析引起交通擁堵的原因及制定相關(guān)決策提供了依據(jù)。通過分析當(dāng)前路網(wǎng)數(shù)據(jù)拓?fù)渚W(wǎng)絡(luò)的結(jié)構(gòu),提出了基于路段的實(shí)時(shí)交通擁堵預(yù)測(cè)的城市路網(wǎng)模型,不僅能夠減少冗余道路數(shù)據(jù)的存儲(chǔ),建立正確的道路拓?fù)潢P(guān)系,還能夠?qū)Φ缆返耐ㄐ心芰Α⒔徊婵诘霓D(zhuǎn)向能力等交通規(guī)則進(jìn)行表示,并支持空間信息的查詢分析,在此基礎(chǔ)上研究了規(guī)劃路徑的 A*算法并進(jìn)行了改進(jìn),改進(jìn)的算法不僅考慮道路拓?fù)浣Y(jié)構(gòu),還考慮道路的實(shí)時(shí)動(dòng)態(tài)信息,利用此算法在規(guī)劃路線時(shí),可在車輛到達(dá)目的地之前多次搜索最優(yōu)路徑,根據(jù)道路擁堵狀況實(shí)時(shí)動(dòng)態(tài)選取,減少了人們的出行時(shí)間。本文設(shè)計(jì)的時(shí)空特征大數(shù)據(jù)交通態(tài)勢(shì)融合系統(tǒng),實(shí)現(xiàn)了出租車動(dòng)態(tài)時(shí)空分布數(shù)據(jù)的動(dòng)態(tài)交通態(tài)勢(shì)分析方法和展現(xiàn)手段,可將車、路網(wǎng)動(dòng)態(tài)數(shù)據(jù)進(jìn)行快速匹配,在電子地圖上融合了圖像信息,實(shí)時(shí)監(jiān)控車輛的位置、速度、狀態(tài)、歷史查詢、人員管理、車輛管理、出入城動(dòng)態(tài)圍欄、智能處理、安全可視等信息,滿足了出租車車輛的動(dòng)態(tài)監(jiān)管和信息化服務(wù)。目前,開發(fā)的車輛視頻采集監(jiān)視終端已在車輛上安裝試用,可實(shí)現(xiàn)與出租車時(shí)空特征大數(shù)據(jù)可視交通態(tài)勢(shì)融合處理系統(tǒng)的交互應(yīng)用,提出的大數(shù)據(jù)可視交通態(tài)勢(shì)融合處理方法、道路網(wǎng)絡(luò)模型和改進(jìn)的 A*算法在該系統(tǒng)軟件上進(jìn)行了集成,測(cè)試結(jié)果顯示了可視交通態(tài)勢(shì)處理方法、網(wǎng)絡(luò)模型和改進(jìn)算法的優(yōu)越性,滿足了系統(tǒng)的動(dòng)態(tài)實(shí)時(shí)交通地圖顯示、動(dòng)態(tài)路徑選擇、地圖可視數(shù)據(jù)融合等功能要求。
[Abstract]:Taxi is a city mobile civilization window, reflecting the level of development of a city's traffic system, how to reduce the taxi empty driving rate, reduce emissions, to obtain urban dynamic real-time traffic flow, vehicle safety and visibility. Planning passenger travel route has become an urgent problem to solve in order to improve the taxi information service. In the 12th Five-Year Plan, traffic informatization is the second subject area of the Internet of things, which is the priority of national development. Traffic information related issues have become the focus of research at home and abroad. Navigation and electronic map of the rapid development and application. This paper analyzes the basic theory and related technology related to big data visual traffic situation fusion processing, aiming at the accurate navigation and positioning of taxi. Security visualization and big data traffic situation fusion problem, taxi navigation and positioning and video acquisition and monitoring terminal design, the space-time feature big data visual traffic situation fusion processing method. Through the interaction between vehicle navigation and image acquisition terminal and background, the visual traffic situation fusion of the space-time feature big data is realized, and the visible presentation of congested road condition is realized. This paper provides the basis for analyzing the causes of traffic congestion and making relevant decisions. By analyzing the structure of the current network data topology, the urban road network model of real-time traffic congestion prediction based on road sections is proposed. It can not only reduce the storage of redundant road data and establish the correct road topology relationship, but also can express the traffic rules such as the capacity of the road, the turning ability of the intersection and so on. On this basis, the algorithm of path planning is studied and improved. The improved algorithm not only takes into account the road topology, but also takes into account the real-time dynamic information of the road. By using this algorithm, the optimal path can be searched several times before the vehicle reaches the destination, and real-time dynamic selection can be made according to the road congestion. This paper designed the big data traffic situation fusion system, realized the dynamic traffic situation analysis method and the display method of the taxi dynamic spatial and temporal distribution data. The dynamic data of road network are matched quickly, the image information is fused on the electronic map, and the position, speed, status, historical inquiry, personnel management, vehicle management, dynamic fence of the city are monitored in real time. Intelligent processing, security visualization and other information, meet the dynamic supervision of taxi vehicles and information services. At present, the development of vehicle video collection and monitoring terminal has been installed on the vehicle trial. It can realize the interactive application of big data visual traffic situation fusion processing system with taxi space-time characteristics. The big data visual traffic situation fusion processing method is proposed. The road network model and the improved A * algorithm are integrated into the system software. The test results show the advantages of the visual traffic situation processing method, the network model and the improved algorithm. The system meets the requirements of dynamic real-time traffic map display, dynamic path selection, map visual data fusion and so on.
【學(xué)位授予單位】：山東大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：U495;TP202

【參考文獻(xiàn)】

相關(guān)期刊論文 前4條

1 鮑培明;距離尋優(yōu)中Dijkstra算法的優(yōu)化[J];計(jì)算機(jī)研究與發(fā)展;2001年03期

2 蔣金亮;宋瑞;李晉;劉杰;;基于DEA的城市道路交通擁堵評(píng)價(jià)[J];交通信息與安全;2011年03期

3 鄒亮;徐建閩;朱玲湘;;A~*算法在基于電子地圖的動(dòng)態(tài)路徑誘導(dǎo)中的應(yīng)用[J];武漢理工大學(xué)學(xué)報(bào)(交通科學(xué)與工程版);2006年05期

4 錢紅f;葛文鋒;鐘鳴;葛銘;;基于分層的改進(jìn)A算法在路徑規(guī)劃中的應(yīng)用[J];計(jì)算機(jī)工程與應(yīng)用;2014年07期

，

本文編號(hào)：1376371