Traffic accident influence factor prediction method, device and equipment and storage medium

Abstract

The invention relates to the field of big data, and discloses a traffic accident influence factor prediction method, device and equipment and a storage medium. The method comprises the following steps: extracting a plurality of first influence factors from a plurality of pieces of historical traffic accident data by adopting a preset text information extraction algorithm; respectively inputting the first influence factor into a preset first pre-training model and a preset second pre-training model for training so as to predict the influence degree of the first influence factor on the traffic accident and obtain a corresponding first prediction result and a corresponding second prediction result; calculating a likelihood ratio of the first prediction result to the second prediction result to adjust random parameters in the second pre-training model to obtain a prediction model; and obtaining second influence factors of the current traffic accident, and predicting the influence of each second influence factor on the current traffic accident by adopting the prediction model so as to determine the influence factor of the current traffic accident. The invention also relates to a blockchain technology, and the traffic accident data is stored in the blockchain. According to the invention, the heterogeneity of pedestrian traffic safety factor analysis is improved.

Description

technical field [0001] The present invention relates to the field of big data, in particular to a method, device, equipment and storage medium for predicting traffic accident impact factors. Background technique [0002] With the increase of highway mileage and the improvement of infrastructure, the accident rate per unit mileage and the death rate per 100 million vehicle kilometers tend to decline, but the total number of accidents remains high, and the severity of accidents is increasing year by year. The safety situation is still severe and serious. Affect the safety of people's life and property. Therefore, it is very meaningful to analyze the causes of highway traffic accidents, analyze the mechanism of traffic accidents, and propose corresponding safety improvement measures to improve the traffic safety situation from the source. [0003] The traditional method of analyzing the influence of factors on pedestrian traffic safety is mainly realized by descriptive data co...

AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to solve the technical problem of lack of heterogeneity in the analysis of pedestrian traffic safety factors in the prior art through an ordered model with fixed parameters

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