Research On Traffic Accident Analysis And Transaction System Based On Data Mining

With the most total number of road traffic accidents and death toll, China has been ranking first for several years in the world. Traffic accidents have seriously affected the national economic development and social stability as well as the building of harmonious society. To properly handle the traffic, find responsible person for the accident fairly and impartially, reduce traffic accidents, protect state property and people's lives, the state has spent a lot of manpower and financial resources to deal with road traffic accidents every year.The occurrence of traffic accidents has its specific, fortuitous reasons, and subject to the influence of various other factors. If we can find the relations between various factors in the road traffic accident data, especially, the rule between traffic accidents reason such as drivers, vehicles, roads, weather, time, which may cause traffic accidents and the result factors such as the accident types, the main reason, scene which may cause the traffic accident result. Then the traffic management departments will judge the possibility which the road traffic accident occurs according to the drivers, vehicles, roads, weather and time factors. It can guide the traffic management department to work better, and there is great significance in reducing the occurrence of accidents.In this article it makes association rules data mining among the road traffic accident characteristics, drivers, vehicles and road factors, simulates traffic accident using virtual reality, and analyses the traffic data. Thereby it helps the traffic management departments to identify accident responsibility fairly and impartially. The major research works are as follows:1. Introducing the current techniques of road traffic accident analysis and transactionFirstly, it elaborates the common research methods of traffic accidents. Secondly, it introduces the data mining basic theory, association rules, Apriori algorithm and multi-dimensional association rules. Thirdly, it introduces the simulation and reconstruction techniques of road traffic accident, OBB bounding box collision detection algorithm and three-dimensional simulation technology.2. Proposing the multi-dimensional Apriori improved algorithmBefore analyzing the association rules, it pre-specifies which level of the dimension participates the correlation analysis, the other levels doesn't participate the correlation analysis. Thus the problem is reduced to a simple model of multidimensional data mining, thereby enhancing Mining speed and efficiency.3. Establishing the road traffic accidents model based on data miningIn view of the road traffic accidents problem, it uses the star data model, using the multi-dimensional Apriori improved algorithm to analyse data. The algorithm uses the circulation iteration strategy to operate data, finds the rules in the restraint threshold conditions. Using the association rule basic principle, this model does association analysis to the former road traffic accident data, obtains association rules satisfied the minimum support and the minimum confidence, finds the relations among the accident factors and drivers, vehicles, roads, weather and the time factor.4. Designing and realizing the road traffic accident analysis and transaction systemTaking the data mining and virtual reality technologies as foundations, it designs and realizes the road traffic accident analysis and transaction system. There are three modules in this system, such as the basic information module, the accidents simulation and reconstruction module and the accidents assisting decision analysis and procession module. The basic information module may store, modify and maintain the basic information of accident. The accidents simulation and reconstruction module reconstructs the traffic accident, assists the traffic management departments to make decision. The accidents assisting decision analysis and procession module uses the multi-dimensional Apriori improved algorithm to test the Jinan district road traffic accidents data, analyses the main reason caused accidents. It analyses and summarizes the accidents information, recognizes the accident responsibility. Making suggestions to the traffic safety, for policy makers it provides some practical significance plan and preventive measures as supplementary reference.Based on the data mining related theory, this system uses the effective method to mine the valuable information from the massive road traffic accidents data. Appling the data mining theory in the road traffic accidents data analysis, it finds the relations between the road condition factors and the accidents, analyzing the reasons caused accidents. In the same time, it uses the virtual reality techniques to simulate and reconstruct the accident according to the accident scene information. This system can helps the traffic management departments to handle accidents and identify accident responsibility fairly and impartially, improving the traffic accident procession quality.