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:

• generate, using a machine learning model, at least one collision prediction involving an environment object and at least one vehicle based at least in part on a user input from a computing entity and a trusted location of the at least one vehicle, wherein the user input is obtained using a graphical user interface (GUI) of the computing entity and comprises an approximate location of the environment object;
• 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.

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:

• generate, using a machine learning model, at least one collision prediction involving an environment object and at least one vehicle based at least in part on a user input from a computing entity and a trusted location of the at least one vehicle, wherein the user input is obtained using a graphical user interface (GUI) of the computing entity and comprises an approximate location of the environment object;
• 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.