Abstract: A system and method for optimizing vehicle fleet deployment. The method includes determining a predicted vehicle demand at an upcoming time for at least one geographic location based on current data including current contextual data by applying a demand prediction model to features extracted from the current data, wherein the demand prediction model is trained using machine learning based on historical vehicle demand data and historical contextual data for a plurality of historical geographical locations and times; and generating an optimal fleet movement plan based on the predicted vehicle demand by applying a linear optimization model to cost values, wherein the optimal fleet movement plan is for moving at least one vehicle of a fleet including a plurality of vehicles, wherein the cost values are determined based on the predicted vehicle demand, a current location of each vehicle of the fleet, and a status of each vehicle of the fleet.