Method, device, vehicle, storage medium and program product for monitoring driving risk

By acquiring and analyzing driving behavior data, utilizing driving risk quantification strategies and multi-dimensional feature space modeling, driving risks are assessed and monitored, solving the problem of frequent vehicle traffic accidents and enabling personalized safety guidance and accident prevention.

CN121469593BActive Publication Date: 2026-06-05XIAOMI EV TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
XIAOMI EV TECH CO LTD
Filing Date
2026-01-08
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

With the increase in vehicle ownership and the increasing complexity of road traffic, traffic accidents occur frequently. Existing technologies are insufficient to effectively monitor and prevent driving risks, resulting in a high accident rate.

Method used

By acquiring driving behavior data from users' vehicles, driving style analysis is performed using a driving risk quantification strategy to determine the driving risk assessment results for the target driving style. Based on this, driving risk monitoring is carried out, including grid analysis of multidimensional feature space and generalized linear modeling, and a Poisson regression model is constructed to assess the accident rate.

Benefits of technology

It improves the targeting and accuracy of driving risk monitoring, provides personalized safety guidance, and reduces the incidence of traffic accidents.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present disclosure provides a driving risk monitoring method and device, a vehicle, a storage medium and a program product, and relates to the technical field of vehicles. The method comprises the following steps: obtaining driving behavior data generated by a user driving a vehicle during driving; performing driving style analysis on the driving behavior data according to a driving risk quantification strategy to determine a driving risk evaluation result of a target driving style corresponding to the driving behavior data; the driving risk quantification strategy is obtained by analyzing historical driving behavior data of multiple driving styles; and performing driving risk monitoring according to the driving risk evaluation result. The driving risk quantification strategy is used to analyze the driving behavior data in terms of driving style first, and then the driving risk evaluation is performed based on the target driving style, so that the driving risk evaluation can reflect the personalized driving behavior characteristics of the user, the pertinence and accuracy of the driving risk monitoring are improved, and more personalized safety guidance can be provided for the user, which helps to prevent and reduce the incidence of traffic accidents.
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