Driving preference pre-judging method

Abstract

The invention discloses a driving preference pre-judging method. The method comprises the steps that S1, acquriing quantized physiological feature parameters, psychological feature parameters and external feature parameters of a driver to be tested; S2, performing standardization processing on the physiological characteristic parameters, the psychological characteristic parameters and the externalcharacteristic parameters of the driver to be tested, inputting the parameters into a pre-constructed driving preference model, and obtaining a driving preference value of the driver to be tested; S3, comparing the driving preference value of the to-be-tested driver with a preset interval range to which a conservative type, a common conservative type, a common aggressive type, a common aggressivetype and an aggressive type belong to obtain a preference judgment result of the to-be-tested driver. According to the method, physiological, psychological and external characteristics of the driverare comprehensively considered, the output result is visual, the application is simple and convenient, the driving preference of the automobile driver can be accurately predicted, and the method is ofgreat significance for perfecting the driver psychological state monitoring and predicting function of an automobile active safety early warning system and reducing artificial traffic accidents.

Description

Technical field [0001] The invention relates to the technical field of automobile intelligent driving, in particular to a method for predicting driver preference based on gray relational entropy. Background technique [0002] The automobile safety early warning system can reduce the driver's burden and judgment errors. It is currently the most effective technical facility to prevent man-made traffic accidents, and it has played an important role in improving traffic safety. The automobile safety early warning system includes two technologies, active safety and passive safety. The so-called active safety refers to the "safety" before the accident, and refers to the measures and methods adopted to achieve accident prevention and avoidance to prevent traffic accidents. Active safety systems can avoid traffic accidents and prevent them before they happen. Of course, they can also reduce the harm caused by accidents. At present, researches on early warning systems for automobile safe...

AI Technical Summary

Problems solved by technology

At present, domestic and foreign research on early warning systems for safe driving of automobiles mainly focuses on environmental information perception, safety distance discrimination, and early warning methods. Most of the situation assessment and intention identification ignore the influence of the driver's physiological and psychological characteristics, which makes the accuracy of early warning low. generate false positives

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