Personalized differentiated driving risk evaluation method based on driving safety event

A driving safety and driving risk technology, which is applied to computer components, digital data processing components, resources, etc., can solve the problems of not considering individual differences in driving safety incident risks, and achieve reasonable and accurate judgment results Effect

Active Publication Date: 2021-04-06
WUHAN UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a driving risk assessment method based on driving safety events with individualized differentiation, which is used to solve the problem that traditional analytic hierarchy process, entropy weight method and other weighting methods do not consider the individual differences in the risks of various driving safety events

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  • Personalized differentiated driving risk evaluation method based on driving safety event
  • Personalized differentiated driving risk evaluation method based on driving safety event
  • Personalized differentiated driving risk evaluation method based on driving safety event

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Embodiment Construction

[0034] In order to make the purpose, technical solutions and advantages of the embodiments of the present disclosure clearer, the technical solutions of the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings of the embodiments of the present disclosure. Apparently, the described embodiments are some of the embodiments of the present disclosure, not all of them. Based on the described embodiments of the present disclosure, all other embodiments obtained by persons of ordinary skill in the art without creative effort fall within the protection scope of the present disclosure.

[0035] see figure 1 , a personalized differentiated driving risk assessment method based on driving safety events, which specifically includes the following steps:

[0036] Obtain driving behavior data: use sensors to collect real-time driving behavior data of drivers; driving behavior data includes: vehicle speed value, acceleration, bra...

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Abstract

The invention discloses a personalized differentiated driving risk evaluation method based on a driving safety event, and the method comprises the steps of obtaining driving behavior data, and obtaining a driving risk evaluation score through a risk evaluation model. Specifically, the method includes extracting historical behavior data of other drivers, extracting a driving safety event according to a preset threshold value, extracting equivalent pairing samples from a database of the normal driving state of the driver according to the extracted sample capacity, performing statistical test on the driving behavior data of the driver in the driving safety event and the behavior data of the driver in the normal driving state, and inputting a result with a significant statistical difference in the test into a clustering algorithm for classification to obtain a risk evaluation index, and according to the risk evaluation indexes, obtaining driving risk weights of the various driving safety events to the driver. According to the method, individual differences of different drivers in various driving safety event risks are fully considered.

Description

technical field [0001] The invention relates to the fields of traffic safety, driving behavior and data mining, and in particular to a method for evaluating individualized differentiated driving risks based on driving safety events. Background technique [0002] In the existing research, the quantitative driving risk is generally analyzed for three kinds of events, and the events are divided according to the severity from high to low: accident (Crash), near-accident (Near-Crash) and safety incident (Critical Incident Events: CIEs). ). In the driving risk assessment based on driving behavior and accident risk association rules, historical traffic accidents are often used to evaluate the driver's risk level. Especially in the research on personalized driving behavior insurance, indicators such as historical accident frequency, severity, and claim amount are used as indicators to evaluate the level of driver behavior risk. [0003] Although indicators such as the frequency of...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06F7/58G06K9/62
CPCG06Q10/0635G06Q10/06393G06F7/582G06F18/23213G06F18/24
Inventor 张晖刘永杰吴超仲肖逸影张琦
Owner WUHAN UNIV OF TECH
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