Plateau driver driving suitability level evaluation device and method

Abstract

The present invention discloses a plateau driver driving suitability level evaluation device and method. A perception ability module is configured to perform danger identification test of a tested person; a heart rate and blood specimen collection module is configured to collect the heart rate and the oxygen saturation of the tested person; a physiological data collection module is configured to calculate variance of an instant heart rate time sequence according to the instant heart rate time sequence and calculate the mean of the oxygen saturation of the tested person; and a suitability evaluation module is configured to perform plateau driver driving suitability level evaluation of the tested person according to the identification quantity, the identification time, the variance of the instant heart rate time square and the mean of the oxygen saturation through adoption of an element analysis method. The plateau driver driving suitability level evaluation device and method are comprehensive in covered indexes and is targeted, and can meet the application demand for Tibet plateau driver driving suitability quantitative evaluation in a high degree.

Description

technical field [0001] The invention belongs to the field of driver's driving ability evaluation and relates to a device and method for evaluating the driving suitability level of a plateau driver. Background technique [0002] The average altitude of the Tibetan plateau is above 4000m, the oxygen partial pressure is only 11kPa, and the atmospheric partial pressure is only 53kPa, which is close to the physiological limit of most people's survival. According to the 2013 "Annual Report on Road Traffic Accidents of the People's Republic of China" published by the Traffic Management Bureau of the Ministry of Public Security, the number of major traffic accidents with more than 10 fatalities in the western region is the highest, and the driving safety situation is severe. At the same time, Zhu Xinglin, a traffic safety scholar, analyzed the characteristics of 986 accidents in plateau areas and found that factors related to drivers accounted for 94.6% of the causes of traffic acci...

AI Technical Summary

Problems solved by technology

However, the selection of line drivers is often based on qualitative judgments, and it is difficult to make accurate judgments. It is also difficult to measure the driver's ability to carry out driving tasks (driving suitability)

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