Research on identification method for road accident black spots with ordinal clustering method

This paper analyzed the causes of road traffic accident black spots and proposed an accident black spots Identification method based on ordinal clustering algorithm. Through divided the length of road with the incident frequency, the number wounding and deaths and the number of accidents in the spatial distribution for every kilometer, then the average accident indicators (accident frequency, wounding the number of accidents, deaths the number of accidents, etc.) of per kilometer of the road are statistic and sorted by this method, if the pre-incident indicators more than multiple of the identified index, the sections of the road was identified as accident black spots. This paper has also developed an orderly clustering accident black spots identified functional modules, and tested the results with accident-prone points on the Beijing road of the Jingjintang highway. Combining field investigation and observation data results proved the reasonable of this method.