Accident black spot identification is one of the most economical,direct and effective ways to improve road traffic safety.At present,there are many methods for identifying black spots in accidents and their respective applicability.Most of the methods are cumbersome and the workload is huge.How to select scientific and reasonable methods to quickly identify black spots in traffic accidents is one of the important contents that the traffic management and operation and maintenance departments continue to pay attention to..Based on the basic principles and methods of the cumulative frequency curve method to identify accident blackspots,the paper analyzes its applicability and the influencing factors of the identification accuracy;in view of the shortcomings of the cumulative frequency curve method in the application of accident blackspot identification,analyzes the unit division of different sections of the road.Accumulative frequency curve method to identify the accuracy improvement effect,explore new section unit division method and reasonable range of section unit length;then build a traffic accident black spot intelligent recognition platform based on MATLAB GUI,aiming to simplify the work of accumulative frequency curve method identification To realize the parameterization of section unit division method and section unit length selection;finally,taking the accident data of Shuima Expressway in the past three years as the object,using the accident black point intelligent identification platform to identify accident black points,and compare and analyze different lengths(100m).,200 m,500m,1km),further explore the influence of the length of the section unit on the identification accuracy,give reasonable suggestions for the value of the section unit length,and finally get the black spot section of the Shuima Expressway accident.This paper proposes the cumulative frequency curve method based on the minimum step length section unit division,builds an intelligent black spot identification platform for accidents,simplifies the identification workload of the cumulative frequency curve method,and effectively improves the identification accuracy and the applicability of the method.It can be used for other high-speed Provide technical support for identifying black spots in highway accidents. |