SYSTEM AND METHOD FOR PREDICTING A DESTINATION FOR A VEHICLE

A method includes receiving a trip history for an operator of the vehicle with the trip history including trip information regarding previous trips by the operator of the vehicle. A data cluster corresponding to each destination in the trip history is generated by extracting input features from trip information for each trip. The input features characterize a relationship between the operator of the vehicle and the previous trips. A training dataset is generated based on collecting the data cluster corresponding to each of the destinations in the trip history. The training dataset is utilized to develop a gradient boosted trees model. At least one destination for the operator of the vehicle is predicted with the gradient boosted trees model utilizing at least one of an origin location of the operator of the vehicle, a time, or a day as input conditions for the gradient boosted trees model.