基于交通流量图的交通信息提取技术研究

发布时间：2018-01-04 22:01

本文关键词：基于交通流量图的交通信息提取技术研究　出处：《长安大学》2015年硕士论文　论文类型：学位论文

【摘要】：本文通过探讨当前交通信息提取技术的发展,论述了采取针对网络发布的流量图进行数据提取的方法,并且给出了一种可行的实际路段中交通信息提取方法。本文首先结合当前网络地图的瓦片金字塔技术和特点,分析了交通流量瓦片地图的属性。通过引用队列和宽度优先遍历等数据结构知识,着重阐述了网络爬虫技术的工作原理和基本操作方法,在此基础上发现可以构造网络爬虫来批量获取网络上的各种信息。由此,本文设计了一个基于网络爬虫技术的交通流瓦片下载器,实现了交通流量图的批量下载,从而为后续交通流量数据的提取研究奠定了基础;其次,在进行交通流量元素提取过程中,针对交通量元素混色干扰问题,给出了区域填充种子算法。算法由内向外按照八连通的八个方向逐步向外填色,从而有效去除了同色区域的各种干扰;同时,在代码设计过程中,采用引用传递技术来优化算法程序,提高了算法程序的运行效率,从整体上提高了交通流量图预处理操作的效率和准确性;最后,根据预处理的结果,提出了一个可行的交通信息提取方案。方案的主要思想是对真实交通环境下的路网和路段进行定义,并对定义的路段进行编码,再通过相应的匹配算法对路段与其对应的交通流量瓦片的像素点坐标和ARGB向量进行关联,最终获取相应路段的交通拥堵状态判定信息,实现了交通信息的提取。
[Abstract]:This paper discusses the development of current traffic information extraction technology and discusses the method of data extraction based on the flow chart published by the network. And a feasible method of extracting traffic information is given. Firstly, this paper combines the technology and characteristics of tile pyramid of current network map. The attributes of the traffic flow tile map are analyzed. By referring to the data structure knowledge such as queue and width priority traversal, the working principle and basic operation method of the network crawler technology are expounded. On this basis, it is found that the crawler can be constructed to get all kinds of information on the network in batches. Therefore, this paper designs a traffic flow tile loader based on the technology of web crawler. The mass download of the traffic flow chart is realized, which lays a foundation for the research of the subsequent traffic flow data extraction. Secondly, in the process of extracting traffic flow elements, a region filling seed algorithm is proposed to solve the problem of mixed color interference of traffic volume elements. Thus, all kinds of interference in the same color area are removed effectively. At the same time, in the process of code design, the use of reference transfer technology to optimize the algorithm program, improve the efficiency of the algorithm program, from the overall traffic flow graph pre-processing operation efficiency and accuracy; Finally, according to the results of preprocessing, a feasible scheme of traffic information extraction is proposed. The main idea of the scheme is to define the road network and road sections under the real traffic environment, and code the defined sections. Then the corresponding matching algorithm is used to correlate the pixel coordinates and ARGB vectors between the sections and the corresponding traffic flow tiles, and finally obtain the traffic congestion decision information of the corresponding sections. The extraction of traffic information is realized.
【学位授予单位】：长安大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491

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