Accident hotspot comprehensive judging method based on traffic accident collection technology

Abstract

The invention provides an accident hotspot comprehensive judging method based on a traffic accident collection technology. The method comprises the following steps that the basic attribute data of each road section of each road in a road network are obtained; the road sections in the same type are merged and classified; accident generating information data of each road section of each road in the road network in a certain historical year are obtained; the equivalent value of the road section to be tested in the historical year is calculated; the equivalent index of accident generating in the road section to be tested in the historical road section is calculated; the critical value of the average equivalent index of accident generating in the same kind of road sections of each road section to be tested in the historical year is calculated; whether the road section to be tested is the accident hotspot or not is judged according to the critical value of the equivalent value and the average equivalent index. The method has the advantages that the accident hotspot can be reliably and scientifically judged on the premise of ensuring the comparability.

Description

technical field [0001] The invention relates to the technical field of road traffic safety, in particular to a comprehensive determination method of accident hotspots based on a traffic accident collection technology. Background technique [0002] Traffic accident collection technology mainly refers to the means of obtaining accident information through three means: manual, mobile terminal and fixed monitoring. Among them, labor mainly refers to the traffic police obtaining accident information by filling in the accident information collection form; mobile terminal refers to entering accident information through law enforcement terminals; fixed monitoring refers to extracting accident information through video surveillance. The accident information obtained by these means is unified and aggregated into the traffic accident collection system. The accident information generally includes accident time, location, shape, type, cause, etc. These data are the basis for comprehensiv...

AI Technical Summary

Problems solved by technology

This regulation defines accident-prone points from a macro perspective, but with the development and progress of science and technology, this regulation also has certain drawbacks. First, the same number of traffic accidents occurs, and different roads are not comparable, such as expressways. Due to the large traffic volume, the probability of accidents will be much higher than that of national and provincial roads with small traffic volume; second, the severity of accidents has not been scientifically considered, and the severity of two serious accidents must be higher than that of three Major accidents are serious, but if according to the regulations, two extremely serious accidents cannot be judged as accident-prone points; third, the setting of the threshold value for discrimination lacks particularity. Due to the differences of each road section in each region, it is obviously not advisable to use the same threshold value for discrimination

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