Implementation method of driver danger prediction test system

Abstract

The invention provides an implementation method of a driver danger prediction test system. The method comprises the following steps that: a subject logs in the driver danger prediction test system on intelligent equipment, the driver danger prediction test system randomly selects a test video group, and after each test video is played, the test video is frozen; and the time when the video is frozen is the time when the traffic conflict occurs, the subject predicts the traffic condition within 5 seconds after the traffic conflict occurs, and inputs an answer by inputting characters or selecting options; the next test video is automatically played after freezing is finished, and the above operation is performed until all the test videos are played and frozen, then the test is finished, a test result is formed, judging is performed, and a test score and a subject safety level are outputted. According to the invention, a testee can complete the test only by using an Android system mobile phone, the method is suitable for different educated drivers and is suitable for larger-scale test, the answer obtained by the test contains the understanding of the testee on the current road condition, and the test fuzziness during reaction is avoided.

Description

technical field [0001] The invention relates to the technical field of diagnosis, in particular to a method for realizing a driver risk prediction test system. Background technique [0002] Hazard prediction refers to the driver's ability to accurately anticipate potential hazards in the road environment and grasp how the hazard will develop during driving. The hazard prediction test is an alternative to the traditional reaction time-based hazard perception test. The basic premise of the test is that even the safest drivers do not wait for hazards to occur before reacting, but instead try to predict what will happen based on cues in the visual scene. [0003] A driver's hazard prediction test was first developed by British researchers in 2009 and incorporated into the driver's license test. This hazard prediction test requires subjects to watch a series of traffic videos taken from the driver's point of view. The images of these videos will turn black or freeze when there ...

AI Technical Summary

Problems solved by technology

[0006] However, there are certain limitations in this response time test

First, the test cannot reveal the course of the subject's response, only a final response time outcome

This means that the test cannot obtain information about how the subject is actually thinking, and cannot determine whether the subject is actually responding to a dangerous event rather than something else

Second, the processing of missing data values

[0007] Although there are still some deficiencies in the test of private car driver's danger perception based on the reaction time, it is undeniable that the test of the private car driver's danger perception based on the reaction time still has an irreplaceable role

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