基于GPS数据的道路交通状况的研究

发布时间：2018-04-28 14:48

本文选题：交通状况 + 地图匹配算法　；参考：《浙江工业大学》2013年硕士论文

【摘要】：近年来,我国高速公路、城市交通、铁路都有了突飞猛进的发展,铺设了许多高速公路和高等级公路,初步构成了由城市主干道、地方公路、高速公路等不同级别的公路组成的辐射全国的公路网。在公路网大力发展的同时,城市交通条件也有了非常大的改善。然而,在城市交通管理中,道路交通拥堵依然是我国运输需要解决的问题,主要原因是：人民生活水平不断提高,交通运输方式不断增加,道路车辆与日俱增,这使得现有的道路交通管理系统难以与现有的交通方式相匹配,从而造成了道路交通严重拥堵的问题。针对交通发展的现状,木论文提出了一个解决道路交通拥堵问题的完整方案,利用地图匹配算法对GPS数据做相关的处理,根据处理结果在Android手机平台上设计道路路况软件。本文所做的主要工作由以下内容组成： 1.介绍了目前的交通状况,分析现在存在的交通问题及其原因所在,综合研究了国内外的一些解决方案,分析了目前主要的测速方法,提出了本文解决交通问题的方法和依据。 2.对目前世界上几种主要的全球卫星导航系统进行分析、研究和探讨,学习各种地图匹配算法,了解它们的优缺点和适用的场合,详细介绍应用程序的开发环境、所选用的服务器和数据库等。 3.在深入了解GPS数据处理的基础上,建立坐标转换模型,对GPS原始数据进行坐标转换,将处理的数据匹配到地图上,在一般的路段和复杂的路段分别采用不同的算法,并且在复杂路段综合三种权重来进行道路匹配,匹配点的准确性还通过平行四边形法则来确定,最后计算道路的平均速度得到道路的交通状况。 4.熟悉Eclipse开发环境后,在Android手机平台下开发路况软件,利用Webservice技术对XML数据和JSON数据进行解析,利用Tomcat发布应用程序以及Mysql来存储提取数据,最终实现观看道路的实时状况、播报路况、播报交通事件的功能。 5.对本文的整体解决方案进行总结,并对未来的发展做了展望。
[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.
【学位授予单位】：浙江工业大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：U495;P228.4

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