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

A technology of traffic accidents and impact factors, applied in the field of big data, can solve problems such as insufficient heterogeneity of pedestrian traffic safety factors

Pending Publication Date: 2021-03-26
深圳赛安特技术服务有限公司
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  • Abstract
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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

Method used

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

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Embodiment Construction

[0058] The embodiment of the present invention provides a traffic accident impact factor prediction method, device, equipment and storage medium, using a preset text information extraction algorithm to extract multiple first impact factors from multiple pieces of historical traffic accident data; and the first The impact factors are respectively input into the preset first and second pre-training models for training, so as to predict the influence degree of the first impact factor on traffic accidents, and obtain the corresponding first and second prediction results; calculate the first and second prediction results Likelihood ratio, to adjust the random parameters in the second pre-training model to obtain a prediction model; obtain the second impact factors of the current traffic accidents, and use the prediction model to predict the degree of influence of each second impact factor on the current traffic accidents, To determine the impact factors of current traffic accidents....

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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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/26G06F40/216G06F40/284G06F40/289
CPCG06Q10/04G06Q50/26G06F40/216G06F40/289G06F40/284
Inventor 王玥颖
Owner 深圳赛安特技术服务有限公司
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