本文選題：交通狀況 + 地圖匹配算法��； 參考：《浙江工業(yè)大學》2013年碩士論文

【摘要】：近年來,我國高速公路、城市交通、鐵路都有了突飛猛進的發(fā)展,鋪設了許多高速公路和高等級公路,初步構成了由城市主干道、地方公路、高速公路等不同級別的公路組成的輻射全國的公路網。在公路網大力發(fā)展的同時,城市交通條件也有了非常大的改善。然而,在城市交通管理中,道路交通擁堵依然是我國運輸需要解決的問題,主要原因是：人民生活水平不斷提高,交通運輸方式不斷增加,道路車輛與日俱增,這使得現(xiàn)有的道路交通管理系統(tǒng)難以與現(xiàn)有的交通方式相匹配,從而造成了道路交通嚴重擁堵的問題。針對交通發(fā)展的現(xiàn)狀,木論文提出了一個解決道路交通擁堵問題的完整方案,利用地圖匹配算法對GPS數(shù)據(jù)做相關的處理,根據(jù)處理結果在Android手機平臺上設計道路路況軟件。 本文所做的主要工作由以下內容組成： 1.介紹了目前的交通狀況,分析現(xiàn)在存在的交通問題及其原因所在,綜合研究了國內外的一些解決方案,分析了目前主要的測速方法,提出了本文解決交通問題的方法和依據(jù)。 2.對目前世界上幾種主要的全球衛(wèi)星導航系統(tǒng)進行分析、研究和探討,學習各種地圖匹配算法,了解它們的優(yōu)缺點和適用的場合,詳細介紹應用程序的開發(fā)環(huán)境、所選用的服務器和數(shù)據(jù)庫等。 3.在深入了解GPS數(shù)據(jù)處理的基礎上,建立坐標轉換模型,對GPS原始數(shù)據(jù)進行坐標轉換,將處理的數(shù)據(jù)匹配到地圖上,在一般的路段和復雜的路段分別采用不同的算法,并且在復雜路段綜合三種權重來進行道路匹配,匹配點的準確性還通過平行四邊形法則來確定,最后計算道路的平均速度得到道路的交通狀況。 4.熟悉Eclipse開發(fā)環(huán)境后,在Android手機平臺下開發(fā)路況軟件,利用Webservice技術對XML數(shù)據(jù)和JSON數(shù)據(jù)進行解析,利用Tomcat發(fā)布應用程序以及Mysql來存儲提取數(shù)據(jù),最終實現(xiàn)觀看道路的實時狀況、播報路況、播報交通事件的功能。 5.對本文的整體解決方案進行總結,并對未來的發(fā)展做了展望。
[Abstract]:In recent years, highways, urban traffic and railways in China have developed by leaps and bounds. Many expressways and high-grade highways have been laid, initially constituting major urban roads and local highways. Highways and other different levels of roads constitute the radiation of the national road network. With the rapid development of highway network, urban traffic conditions have also been greatly improved. However, in urban traffic management, road traffic congestion is still a problem that needs to be solved in our country. The main reasons are: the people's living standard is improving, the mode of transportation is increasing, and the number of road vehicles is increasing with each passing day. This makes it difficult for the existing road traffic management system to match the existing traffic mode, thus causing serious traffic congestion. In view of the current situation of traffic development, this paper proposes a complete scheme to solve the traffic congestion problem, uses map matching algorithm to deal with the GPS data, and designs the road condition software on the Android mobile platform according to the processing results. The main work of this paper consists of the following: 1. This paper introduces the current traffic situation, analyzes the existing traffic problems and their causes, synthetically studies some solutions at home and abroad, analyzes the main speed measurement methods at present, and puts forward the methods and basis for solving the traffic problems in this paper. 2. This paper analyzes, studies and discusses several major global satellite navigation systems in the world, studies various map matching algorithms, understands their advantages, disadvantages and applicable situations, and introduces the development environment of the application program in detail. Selected servers and databases, etc. 3. On the basis of deep understanding of GPS data processing, the coordinate transformation model is established, the coordinate transformation of GPS raw data is carried out, the processed data is matched to the map, and different algorithms are adopted in general sections and complex sections. The accuracy of matching points is determined by parallelogram rule. Finally, the average speed of the road is calculated to get the traffic condition. 4. After being familiar with the Eclipse development environment, we develop the road condition software under the Android mobile phone platform, use Webservice technology to analyze the XML data and JSON data, use Tomcat to release the application program and Mysql to store and extract the data, and finally realize the real-time condition of watching the road. The function of a traffic event. 5. The whole solution of this paper is summarized, and the future development is prospected.
【學位授予單位】：浙江工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：U495;P228.4

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