Abstract
The formation of the traffic accidents is always caused by many factors such as the road, the vehicle, the drivers conditions and so on [1, 2]. In order to analyze the various causes of traffic accidents, the feasibility measures should be taken after the accident occurred, and how to prevent the occurrence of related traffic accidents. This paper introduces a novel traffic accident analysis system to analyze traffic accidents, which is mainly composed of seven parts, including accident basic information analysis, accident driver analysis, accident vehicle analysis, accident road analysis, large accident ledger, multi-dimensional accident analysis, and accident analysis report. The suggested framework mainly contains two technology: (1) multi-dimensional analysis which is the core of the data warehouse technology to build the multi-dimensional data model in reservoir management (2) the on-line analytical processing (OLAP) technology in data analysis and display. In addition, Bayesian network is used for multidimensional data analysis in this paper. The method proposed in this paper can effectively organize a large number of out of data to get useful information which is convenient for traffic management departments to analyze the reason of traffic accidents and then to take corresponding countermeasures.
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