BEHAVIORAL MODELS FOR VEHICLES

In one embodiment, a processor of a vehicle receives a plurality of variables indicative of physical characteristics of the vehicle. The processor uses a machine learning-based model to predict physical states of the vehicle from the plurality of variables indicative of physical characteristics of the vehicle. The model predicts a current physical state of the vehicle from at least two or more prior physical states of the vehicle, and is based on a physical relationship between the physical characteristics. The processor sends synthetic data indicative of the predicted current physical state of the vehicle for use by a receiver application. The processor provides an update to the receiver based on a comparison between the predicted current physical state of the vehicle and the plurality of received variables.