System and method of predicting driver behavior

A method of predicting motion of a vehicle by at least one computing device, the method comprising

• receiving a plurality of geolocation data elements, representing geolocation of at least one vehicle, wherein each geolocation data element is attributed with a respective global timestamp and reception timestamp, representing time of determination of a respective geolocation and time of reception of the respective geolocation data element correspondingly;
• calculating a plurality of extrapolated geolocations, based on (i) respective geolocations;
• (ii) the respective global timestamps, and (iii) respective reception timestamps of respective geolocation data elements of the plurality of geolocation data elements,
• calculating at least one incoming motion data element, representing velocity and direction of motion between the plurality of extrapolated geolocations;
• inferring a pretrained machine-learning (ML)-based model on the at least one incoming motion data element, to predict an outcoming motion data element, representing an expected motion of the at least one vehicle.

A system for predicting driver behavior, the system comprising:

• a non-transitory memory device, wherein modules of instruction code are stored, and at least one processor associated with the memory device, and configured to execute the modules of instruction code, whereupon execution of said modules of instruction code, the at least one processor is configured to:
• receive a plurality of motion data elements, characterizing motion of at least one vehicle in at least one specific driving situation;
• based on the plurality of motion data elements, construct a behavioral model representing expected driver behavior in the at least one specific driving situation;
• infer the behavioral model on at least one incoming motion data element, to predict expected driver behavior in the at least one specific driving situation.