Automobile driving characteristic evaluation and early warning method based on driving inclination
A driving feature and vehicle driving technology, which is applied in the field of intelligent vehicle interaction, can solve the problems of inability to extract the driver's significant driving characteristics, inability to evaluate, and low evaluation accuracy, and achieve the effects of rich content, avoiding driving games, and facilitating comparison
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[0048]A car driving characteristic evaluation and early warning method based on driving tendency, such as figure 1 As shown, it includes the following eleven steps from S1001 to S1011: wherein the English abbreviation of Hidden Markov Model is HMM, and HMM is used to represent Hidden Markov Model to explain the invention below,
[0049] Step S1001, collecting and storing vehicle driving data in real time;
[0050] Specifically, for the current mainstream traditional fuel vehicles, it is a mature and convenient way to obtain driving data through the CAN bus. For highly intelligent vehicles, vehicle driving data can be directly obtained through on-board automatic driving systems and other means. The acquired vehicle driving data include but not limited to: vehicle speed, engine speed, engine torque, throttle opening, rate of change of throttle opening, brake pressure, rate of change of brake pressure, steering angle, steering angular velocity, lateral acceleration, Turn signal...
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