PREDICTIVE MODEL FOR AUTOMATED VEHICLE RECOMMENDATION SYSTEM

A system and method for determining which of a plurality of vehicles is able to respond most quickly to an event. In one embodiment, the present invention divides a geographic region into a plurality of geographic cells. The present automatic vehicle recommendation system then calculates a response time for each of the plurality of vehicles to travel from each of the geographic cells to every other of the geographic cells. The position of each of the plurality of vehicles is monitored by an automatic vehicle location (AVL) system. The present automatic vehicle recommendation system then determines which of the plurality of vehicles is able to respond most quickly to an event reported to a computer aided dispatch (CAD) system. The event is located within one of the geographic cells. The present invention then communicates to the CAD system which of the plurality of vehicles is able to respond most quickly to the reported event. Thus, the present invention provides a system which automatically recommends which of a plurality of vehicles can respond most quickly to an event, a system which can function in conjunction with an existing AVL or CAD system, and a system which reduces CAD system operator decision making processes.