Traffic accident early warning method, device and equipment in severe weather and readable medium

CN120913403AActive Publication Date: 2025-11-07BEIJING ZHONGHAIJIYUAN DIGITAL TECH DEV CO LTD
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Patent Information

Application Number
CN202511210157.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-27
Publication Date
2025-11-07
Estimated Expiration
2045-08-27

AI Technical Summary

Technical Problem

In severe weather, existing technologies only analyze data from a single dimension, which makes it impossible to fully consider the impact of severe weather on drivers and to establish a dynamic matching mechanism between driver profiles and regional risk characteristics. This results in biased warning results and lower driving safety for drivers.

Method used

By acquiring multimodal datasets, performing data fusion processing, extracting driver features, evaluating behavioral capabilities, selecting traffic accident early warning models, generating accurate early warning reports, and achieving dynamic matching between driver profiles and regional risk characteristics.

Benefits of technology

It improves driver safety in adverse weather conditions by establishing a precise early warning mechanism through multi-dimensional data analysis, reducing the deviation of early warning results and thus enhancing driver safety.

✦ Generated by Eureka AI based on patent content.

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Abstract

The embodiment of the invention discloses a traffic accident early warning method, device and equipment in severe weather and a readable medium. A specific embodiment of the method comprises the steps of obtaining a multi-modal data set corresponding to a target driver; performing fusion processing on the multi-modal data set to generate a fusion data matrix; performing driver feature extraction processing on the fused data matrix to generate an extracted feature set; based on the extracted feature set, performing behavior capability evaluation on the target driver to generate a driver behavior evaluation value; selecting a traffic accident early-warning model corresponding to the extracted feature set from a traffic accident early-warning model set as a target early-warning model, and inputting the fused data matrix into the target early-warning model to obtain an accident early-warning result; and generating an accident early warning report based on the driver behavior evaluation value and the accident early warning result, and sending the accident early warning report to a target terminal for early warning operation. According to the embodiment, the driving safety of the driver is improved.
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Citation Information

Patent Citations

  • Driving safety early warning method and system, storage medium and equipment

    CN114373295A

  • Dangerous behavior early warning method based on driver visual feature fusion

    CN119516519A

  • Intelligent lane departure early warning and correction method based on driver behavior prediction

    CN120327518A

  • Driving risk early warning method and apparatus, and computing device and storage medium

    WO2022078077A1