Research On Vehicle Monitoring System Based On The Open Source WebGIS

Recent years, most major cities in China are facing traffic congestion, environmental pollution. the aging society, energy shortages and other problems, a serious impact on the degree of livable and sustainable development of the city. This is a Challenges to China’s urbanization process and also need to solve. Now, development and wide application of information technology provide the opportunity to mitigate and improve of the urban problems. Through the realization of the remote monitoring of vehices and get informations in real time can be used to analyze the urban traffic jams,detect the abnormal trajector unusual driving behavior, and make the appropriate waring punishment. So, remote vehicle monitoring can provide a new way to solve urban problems.The main work of this thesis is as follows:1) In accordance with the overall system requirements and system design principles, to complete the overall design. And according to the relationship between the various parts to divide the sub-module,and comparative analysis the related art used in the system.2) We from the functional completeness, development language, security, and user experience aspects into account to select a open source WebGIS solutions, and complete the WebGIS development accordance to requirements of GIS.3) We use GPS to get the vehicle location, through GPRS module to transfer vehicle data, last store the data into the database. Monitoring platform displaying and tracking the vehicle for real time through get the data from database.4) Since the GPS positions is not continuous,therefore in order to detect the trajectory of the vehicle is abnormal. Firstly,design a method to make the GPS point growing to a rectangle and use a unquine ID to mark the rectangle,then find the abnormal ID sequence which satisfies the threshold. If we use convential table to static,the time takes too long.So we use tree statisticl method to optimize,preferably reduces the time complexity. 5) For direct use Dijkstar algorithm to get the shortest path in the vehicle monitoring module, the query time is hard to meet the requirements.so,we First do a simple preprocessing to reduce the set of points,then use Dijkstar algorithm.the results shows the time has been greatly reduced.