Black spot discrimination method for road traffic accidents based on spatiotemporal combination
A black spot discrimination method for road-traffic accidents was proposed based on spatiotemporal combination to improve the identification accuracy,and to assist the prevention and control of traffic accidents.The spatiotemporal overlap rate was used to measure the road danger degree;the cumulative frequency of the spatiotemporal overlap rate was fitted by using the hyperbolic tangent function;and the point corresponding to the fitted-function curvature minimum-radius was stipulated as the critical value;and the spatiotemporal composite points,which were larger than the critical value,were discriminated as the accident black spots;The traffic accident data collected by the Traffic Police Brigade of the Second Jurisdiction of the Chengnan(Chengdu-Nanchong)Expressway were utilized to conduct an example study.A total of 13 accident black spots was discriminated from 64 effective cases by utilizing the time-space composite method.The results show that the Crash Prediction Accuracy Index(CPAI)values are 2.29,2.03,2.03,2.29,respectively for the accident frequency method,for the cumulative frequency curve method,the kernel density analysis method,and the spatiotemporal overlap rate method.It means that the spatiotemporal overlap rate method has good discriminatory accuracy.The spatiotemporal overlap rate method,which combines both spatial and temporal dimensions,increases the reliability of black spot discrimination.
NETL
NSTL
万方数据
