Identification And Analysis Of Accident Black Position Based On Spatial Clustering Analysis Technique

In this paper, based on the focus of Urumqi city science and technology project in Urumqi city is zoned, road traffic accidents, motor vehicle retains the volume rises continuously, already broke through about400000, But the road behind, and the city traffic flow is formed complex, mixed traffic more intensive, road network, Urumqi city traffic accident peak and so on, how to accurately and effectively the accident-prone location identification, in-depth analysis of its causes, we brook no delay study. Around the above problems, this article on the city of Urumqi road accident black-spots identification method of in-depth research, the main research contents are as follows:Through to the domestic and foreign accident black spots or accidents segment summary and differential method summary, comparative, combine Urumqi city road accident characteristics distribution and GIS technology, application model and surface model double module cluster analysis, this paper puts forward a new technology based on spatial clustering analysis accident black-spots identification method, full of spatial data mining. The results of application show that the new identification method is effective.According to the identified accident prone position due to diversified, complicated, using multiple correspondence analysis was carried on the accident-prone location analysis. The method is that the accidents and factors for object column list, to its specification, inspection and solution to the accident, performance of multiple causes and status, more figurative out main factors and time. The results of application diagram shows this method is effective.Aiming at the typical accident prone location proposed the plan of improvement and suggestion.