Driver relative risk evaluation method based on benchmark analysis

Abstract

The invention provides a driver relative risk evaluation method based on benchmark analysis. The driver relative risk evaluation method includes the steps: by installing a GPS data collector on a motor vehicle, obtaining natural driving behavior data of a driver; based on the vehicle operation parameters, extracting key events, and determining dangerous driving behaviors of a driver; classifying the driving behaviors with different danger degrees by adopting a clustering analysis method; and calculating comprehensive risk indexes of the individual drivers relative to other drivers by utilizinga benchmark analysis method, and meanwhile, obtaining dangerous driving behavior weight distribution reflecting individual differences of the drivers. According to the driver relative risk evaluationmethod, the traditional absolute risk is replaced by the relative risk of the driver, so that the absolute risk quantification of various dangerous driving behaviors is avoided. Relative risk evaluation is carried out on dynamic driving behaviors of individual drivers, and technical support can be provided for safe driving intelligent reminding and feedback of the drivers, personalized insuranceevaluation based on the driving behaviors and road traffic safety management.

Description

technical field [0001] The invention belongs to the technical field of traffic safety, and in particular relates to a technology for comprehensively evaluating the driver's relative risk based on dynamic driving behavior data using benchmarking ideas, in particular to a driver's relative risk evaluation method based on benchmarking analysis . Background technique [0002] According to the research report of the World Health Organization in 2018, road traffic accidents cause 1.3 million deaths and 200-500 million injuries every year. Although road casualties have declined significantly over the past 50 years, these declines are largely due to seat belt use, air bag technology, improvements in the crashworthiness of automobiles, and improvements in infrastructure (i.e., better guardrail designs, road lighting, etc.). Studies have shown that the driver's improper driving behavior is the cause of more than 90% of accidents. Therefore, before dangerous driving behaviors cause t...

AI Technical Summary

Problems solved by technology

For example, researchers analyze the driver's driving behavior more from the perspective of the impact of external factors on the driver's driving behavior, ignoring the influence of the driver's own driving habits and behaviors on driving risks; based on the impact of various dangerous driving behaviors on When assessing driver risk, only the number of occurrences of dangerous driving behaviors is considered, but the different degrees of risk of driving behavior are ignored; when establishing a driver risk assessment model based on multiple dangerous driving behaviors, there is a lack of objective methods to determine various dangerous driving behaviors weight in the driver's overall risk

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