Apparatuses, computer-implemented methods, and computer program products for predicting vehicle collision

An apparatus comprising at least one processor and at least one non-transitory memory having computer-coded instructions stored thereon that, in execution with at least one processor, cause the apparatus to:

• receive, at a cloud computing environment, a user input from a computing entity, wherein the user input comprises an approximate location of an environment object;
• generate, at the cloud computing environment and using a machine learning model, at least one collision prediction involving the environment object and at least one vehicle based at least in part on the approximate location of the aerial object and a trusted location of the at least one vehicle;
• generate traffic data based at least in part on the at least one collision prediction;
• and
• provide a notification indicative of the traffic data to the at least one vehicle and the computing entity.

A computer program product comprising at least one non-transitory computer-readable storage medium having computer program code stored thereon that, in execution with at least one processor, is configured to:

• receive, at a cloud computing environment, a user input from a computing entity, wherein the user input comprises an approximate location of an environment object;
• generate, at the cloud computing environment and using a machine learning model, at least one collision prediction involving the environment object and at least one vehicle based at least in part on the approximate location of the aerial object and a trusted location of the at least one vehicle;
• generate traffic data based at least in part on the at least one collision prediction;
• and
• provide a notification indicative of the traffic data to the at least one vehicle and the computing entity.