Apparatus and methods for predicting events in which drivers render aggressive behaviors while maneuvering vehicles

A non-transitory computer-readable storage medium having computer program code instructions stored therein, the computer program code instructions, when executed by at least one processor, cause the at least one processor to:

• receive input data indicating a target location and including attribute data associated with the target location;
• and
• cause a machine learning model to generate output data as a function of the input data, wherein the output data indicate a likelihood in which a target driver will render an aggressive behavior at the target location while maneuvering a target vehicle, wherein the machine learning model is trained to generate the output data as a function of the input data by using historical data indicating events in which drivers rendered the aggressive behavior while maneuvering vehicles, and wherein the historical data indicate first attributes associated with road segments in which the events have occurred, second attributes associated with points-of-interest (POIs) within peripherals of the road segments, third attributes associated with landmarks within the peripherals, or a combination thereof.