Corresponding analysis based traffic accident cause analyzing method

Abstract

The invention provides a corresponding analysis based traffic accident cause analyzing method, comprising the following steps: inputting traffic accident data and traffic violation data wherein both are correlated through the identity information of a driver; conducting corresponding analysis on the type of traffic accident and the type of traffic violation by the driver; and conducting multiple corresponding analysis on the type of the traffic accident by the driver, the driver's age and gender as well as the car family. The corresponding analysis based traffic accident cause analyzing method of the invention is capable of analyzing the driver's driving actions and the influencing factors on the driving actions through the recorded violations, driving age, gender, car brand of the driver as well as the type of traffic accident so as to make targeted precautions to traffic accident and increase the safety on the road.

Description

technical field [0001] The invention relates to a method for analyzing the cause of traffic accidents based on a corresponding analysis model. Background technique [0002] With the gradual increase of domestic car ownership, the problem of traffic accidents has become more and more prominent; various types of traffic accidents emerge in endlessly; Environmental and so on; therefore, it is necessary to analyze and explore a large amount of data to find out the differences and connections between the factors that cause various types of accidents; so as to prevent traffic accidents in a targeted manner and improve road safety. [0003] At present, there is a lack of detailed classification for the analysis of the causes of traffic accidents, and most of the research focuses on the number of traffic accidents and their impact relationships; there is a lack of corresponding research on the analysis of drivers' driving behavior and driver's accident types; in reality, violations ...

AI Technical Summary

Problems solved by technology

[0003] At present, there is a lack of detailed classification for the analysis of the causes of traffic accidents, and most of the research focuses on the number of traffic accidents and their impact relationships; there is a lack of corresponding research on the analysis of drivers' driving behavior and driver's accident types; in reality, violations are The fuse that leads to the final traffic accident is how to find out what kind of traffic violations will lead to what type of traffic accidents the driver has committed from the driver's historical violation records; secondly, the driver's driving behavior is related to the driver's driving age, gender The driving vehicle is not unrelated; the solution to the above problems has a positive effect on the analysis of the causes of traffic accidents

Images