Vehicle real-time track prediction method and prediction system
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The invention discloses a vehicle real-time track prediction method and a prediction system. The method comprises the following steps: collecting real-time parameters of a vehicle from GNSS dynamic data, wherein the parameters include real-time heading angle, time and real-time speed of the vehicle; getting the radius of the driving route of the vehicle according to the change rate of the heading angle in a continuous state and the real-time speed; calculating the confidence rate reflecting the change state of the driving route of the vehicle according to the parameters, and comparing the confidence rate with a preset confidence rate interval; predicting the track if the confidence rate is within the preset confidence rate interval, and ending data prediction if the confidence rate is not within the preset confidence rate interval; and getting the driving track of the vehicle at next moment according to the parameters and the obtained driving radius of the vehicle. According to the scheme, the driving track of the vehicle at next moment is predicted based on the GNSS dynamic data information of the vehicle, there is no need for a large amount of mathematical operation, and the calculation precision is higher.