Method for detecting driver risk level based on comprehensive model
A technology of risk level and comprehensive model, applied in the field of level, can solve problems such as the inability to meet traffic safety management and less research on driver risk level identification, so as to reduce casualties and property losses, improve overall safety, and improve safety. Effect
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[0041] The present invention will be further described below in conjunction with the accompanying drawings.
[0042] see figure 1 , the present invention first designs the acceleration index by analyzing the speed data of each driver, and uses the characteristic index to identify the driver's driving behavior sequence. Then, using the obtained alarm type of each driver, the K-Means mean clustering method is used to divide the drivers into low-risk drivers, medium-risk drivers and high-risk drivers. The classification of driver risk level is the basis of driver risk level identification, and whether the classification is reasonable or not directly determines the success or failure of the identification algorithm. After the comprehensive model is trained with partial data, the driving behavior sequence is recognized.
[0043] Among them, driving behaviors include fast deceleration, slow deceleration, normal driving, slow acceleration, and fast acceleration.
[0044] 1. Calcul...
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