Method for representing mental load degree of driver on highland road

Abstract

The invention provides a method for representing a mental load degree of a driver on a highland road. The method comprises the following steps: collecting heart rate index change of the driver, real-time position of a vehicle, real-time speed and altitude when the driver drives on the highland road; converting the heart rate index into heart-rate growth rate; dividing a road alignment and counting and recording a corresponding alignment index; performing multiple regression treatment on the heart-rate growth rate of the driver, the average elevation of the current road section, the alignment index of the current road section and the real-time speed of the driven vehicle, thereby acquiring a model; correspondingly substituting all the parameter values of the road section into the model, thereby acquiring the mental index of the driver; comparing the mental index with the heart-rate growth rate in an evaluation standard, thereby judging if the real-time mental load of the driver on the road section is within a safe level. According to the method provided by the invention, the problem of judging the mental load degree of the driver under an altitude environment can be solved and the accuracy of the practical application can be further increased.

Description

technical field [0001] The invention belongs to the technical field of road safety, and relates to a method for characterizing the psychological load level of plateau highway drivers. Background technique [0002] At present, the characterization of the driver's physiological and psychological load is generally carried out through the design of field real vehicle experiments or indoor driving simulation experiments, and the use of multi-conductive physiological recorders to collect relevant parameters of the physiological and psychological characteristics of the driver when driving on the road. The heart rate index is the most common. Combined with the real-time position, real-time speed of the experimental vehicle and the road alignment index parameters (horizontal curve radius, longitudinal slope, etc.), the variable data are subjected to multiple regression to obtain the model equation, and the model form is N=f(R,i,v...), Among them, N is the driver’s psychological index...

AI Technical Summary

Problems solved by technology

[0003] On this basis, there are many existing methods for representing the physiological and psychological compliance of drivers on plain roads, and the corresponding prediction models are varied. The biggest difference between plateau roads and plain roads is that the plateau environment is low pressure and hypoxia, and drivers are affected. This environmental factor has a great influence, so the prediction model needs to be improved accordingly. If the prediction model in plain areas is continued to be used, the final psychological load of the driver will be smaller than the actual situation, which will affect further applications.

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