Analysis System Of Traffic Accidents Based On GIS

Spatial data mining and knowledge discovery meant to collect the meaningful characteristic or mode among the implicit knowledge, spatial relationship and non-explicit memory in the spatial database, The technology is significant in the areas of spatial data understanding and intrinsic relationship between spatial and non-spatial data capturing. In recent years because of the extensive application of the geographical information system (GIS) in each field and the large accumulation of spatial data related spatial position, the study of how to apply the spatial data mining has already been a significant subject in present research.There are key problems analyzed about the road traffic accident information management in the paper, which is to find out the frequently-occurring places of the traffic accident and main reason to cause the traffic accident, which can be analyzed with the spatial clustering method and association analysis method in the spatial data mining theory. On the clustering analysis of the road accidents, different from general clustering, it was a kind of clustering question of obstacle space. In order to carry on the clustering to the point object in the road network accurately, and guarantee the accident relevance in the same accident black point, the paper introduced connectivity concept and designed the algorithm of spatial connective point sets determined and the algorithm of accident black point clustering. Distinguishing if they could be clustered together by determining the connectivity of each point guaranteed the exactness of the clustering algorithm in obstacle space, expanded the application of clustering analysis, and realized the clustering mining in the obstacle space. On the question of the associated mining in accident information, the attribute data of the traffic accident are a kind of multidimensional datum structure, and the general mining algorithm of association rule was unsuitable to excavate to the multidimensional data model. Therefore, with the improvement of classical Apriori algorithm, there was a multidimensional associated algorithm directed against the datum model analysis of traffic accident attribute proposed, which strengthened the ability to cope with the multidimensional spatial data.On the basis of the above study, with the algorithm pointed in the paper and thetechnical design of ArcGIS Engine, the traffic accident analysis prototype system realized. It analyzed and verified data with several groups, analyzed effectively and showed the analysis result by way of figure, which improved the analytical capacity of the road accident information greatly.