Vehicle trajectory prediction model establishment and prediction method
A vehicle trajectory and prediction model technology, which is applied in the traffic control system of road vehicles, traffic flow detection, instruments, etc., can solve the problems of low quality of vehicle trajectory prediction data and low accuracy of vehicle trajectory prediction
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Embodiment 1
[0076] Such as figure 1 As shown, a method for establishing a vehicle trajectory prediction model includes the following steps:
[0077] Step S1: Obtain the historical driving trajectory data of the vehicle. The historical driving trajectory data at least includes the bayonet trajectory sequence formed by vehicles passing through the bayonet in sequence in time, and construct single vehicle trajectory data and road network vehicle trajectory data according to the bayonet trajectory sequence .
[0078] In this embodiment, the historical driving trajectory data of the vehicle refers to that within a certain period of time (for example, 12 hours), the passing information of the vehicle is captured by the camera in each road checkpoint, so that each vehicle is obtained by Time sequence from the first bayonet through each bayonet to the information of the last bayonet, that is, the bayonet track sequence is obtained, and the bayonet track sequence includes at least the current bay...
Embodiment 2
[0147] Such as figure 2 As shown, Embodiment 2 provides a vehicle trajectory prediction method on the basis of Embodiment 1, that is, the vehicle trajectory prediction model in Embodiment 1 is used for prediction. The difference from Embodiment 1 is that the following steps are also included:
[0148] Step S8: When it is necessary to predict the current actual vehicle trajectory, the vehicle trajectory data to be predicted is screened and checkpoint completed according to the method described in Embodiment 1, and then input into the prediction model for prediction to obtain the prediction result. The prediction results include: the probability that the vehicle's next bayonet is S' is f(a,b), and the probability that the vehicle's next bayonet is S is 1-f(a,b).
[0149] Compared with the prior art, the present invention expands the data features in the process of clearing the historical driving trajectory data, and uses a special time and date processing method to make the pr...
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