EQUIVALENT-MULTIDIMENSIONAL INFORMATION ASSIGNMENT METHOD FOR ROAD BLACK SPOT IDENTIFICATION

摘要

Road black spot identification is an effective way to find potential hazardous road locations, which is very important for transportation safety. Multi-inducements, small samples and complicated aftermaths are 3 important characters for traffic accidents. Considering accidents’ exact location, weather condition, peakonpeak hour, special events, drink-drive, casualties and economic losses, this paper proposes equivalent-multidimensional information assignment method for road black spot identification, based on multidimensional information assignment technology (MIAT) and improved accident-equivalent-number method (AENM). Advantages of this new method are validated by a simulation case, comparing with the analysis results by MIAT only and the traditional accident-number method (TANM).