Implementation method of driver danger prediction test system
A test system and implementation method technology, applied in the field of diagnosis, can solve problems such as the inability to reveal the process of the subject's reaction, the inability to obtain information on how the subject thinks, and the inability to determine the subject's response to dangerous events. The effect of ambiguity, avoidance of handling problems
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[0064] Example 1
[0065] like figure 1 As shown, a driver hazard prediction test system implementation method, including the following steps:
[0066] S1, Test: Subjects log in to the driver's hazard prediction test system on smart devices, the driver's hazard prediction test system randomly selects a test video group, the test video group contains several test video, test video random play, each test After the video playback is completed, the video freeze, the video freezing time is the moment of traffic conflict, and the subject predicts traffic conditions in 5 seconds after traffic conflict, and enter hazard prediction results, videos by entering text or selection options After freezing, automatically play the next test video until all test video playback and freeze, the test ends, the driver's hazard predictive test system automatically stores all the dangerous prediction results of the subject to form test results;
[0067] Smart devices include: mobile phones, tablets and c...
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[0087] Example 2
[0088] like figure 2 As shown, a driver's hazard prediction test system implementation method,
[0089] A) The specific test flow of the driver hazard prediction test system developed by this technical plan figure 2 As shown, it is divided into 11 steps.
[0090] (1) When the test is officially started, the system will automatically select a set of (25) test video to test a set of (25) test video in 100 alternative test video (4 sets of tests divided into parallel). These 100 test videos are from the real traffic scenario video, the test video comes from Beijing, Shenyang, Shanghai and Chengdu, and details are shown in Table 1. Each video contains a traffic conflict scenario, that is, the vehicle in the first perspective of the video must take some actions to avoid danger. These videos are in advance by the training experts in the transportation security field as a representative traffic conflict condition and can distinguish Dangerous forecasting level, and is ...
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