Study On The Extraction Technique Of Road Traffic System Based On Traffic Flow Map

To the modern traffic, to obtain accurate traffic information is very significant in the big city and the various regions of the traffic management. It is necessary to carry out comprehensive information on different types of source. The traffic information is the most reliable, more targeted to extract, so as to better solve the traffic problem. At present, the original real-time traffic information through the network data can not be obtained directly, therefore, as a free source of information network traffic flow map as data source, research has certain practical significance and techniques of extraction method of real-time traffic information data. Based on the current network map tile Pyramid technology, analyzed the properties of traffic flow map tiles, the queue and breadth first traversal data structure knowledge, emphatically expounds the working principle of web crawler technology and basic operation method, and on the basis of this finding can be constructed to obtain web crawler all the information on the internet. Thus, this paper designs a web crawler technology of traffic flow based on the tile d batch download traffic flow map, which lays the foundation for the subsequent traffic flow data extraction; Secondly, the extraction process of traffic elements, according to the traffic volume element mixed color interference problem,given the region filling seed the algorithm, which from the inside out according to eight directions eight connected gradually outward coloring, thus effectively removal of various kinds of interference elements the same color area. At the same time, the code in the design process, reference technology to optimize the program using the algorithm, improves the efficiency of algorithm, improves the overall efficiency and accuracy of pre-treatment of traffic flow map operation; finally, according to the results of data processing, and puts forward a feasible scheme of traffic information extraction. The main idea of the scheme is to define the real traffic environment and road sections, and the definition of the sections of the code, and then through the pixel correlation matching algorithm corresponding to sections corresponding to the traffic flow tile coordinates and ARGB vector, finally obtain the corresponding traffic congestion decision information, realizesthe extraction of traffic information.