A driver road driving ability evaluation method based on big data

Abstract

This invention discloses a method for assessing driver's road driving ability based on big data, comprising: multi-dimensional collection of driving behavior data from instructors and trainees; setting standard event thresholds to identify and distinguish normal and abnormal behaviors; screening indicators in which the instructor's performance is significantly better than the trainee's during the interaction process, and quantifying these process-oriented behavioral indicators using the standard event thresholds; determining optimal weights with the instructor's score being better than the trainee's score as the optimization objective; and after determining the optimal weights for each behavioral indicator, calculating the total score for each item using weighted averages to achieve the assessment of the driver's road driving ability. This invention provides an effective tool for driver training through a scientific, objective, and comprehensive evaluation system, helping to improve trainees' driving skills and safety awareness, enhance the quality of training and testing, and ultimately improve road traffic safety.

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