Intersection infrastructure warning system

A method for warning vulnerable road users (VRUs) of danger around an intersection, the method comprising:

• identifying road users around the intersection;
• wherein VRUs are nonmotorists;
• accumulating spatial-temporal data for each of the identified road users;
• processing the spatial-temporal data for each of the identified road users to determine at least one of:
• trajectories, paths, intents, and spatial-temporal behaviors for each of the identified road users;
• processing the at least one of:
• the trajectories, paths, intents, and spatial-temporal behaviors for each of the identified road users using a first artificial intelligence (AI) algorithm to determine predictions for each of the identified road users, the predictions including at least one of:
• predicted trajectories, predicted paths, predicted intents, and predicted spatial-temporal behaviors;
• analyzing the predictions for each of the identified road users using a second AI algorithm to determine if any conflict zones exist for any of the identified road users, the conflict zones indicating an interaction risk between any of the identified road users;
• in response to determining conflict zones exists, identifying (i) targeted VRUs in conflict zones, (ii) threats to the targeted VRUs in the conflict zones, and (iii) time horizons of the threats to the VRUs in the conflict zones;
• prioritizing the threats to the targeted VRUs in the conflict zones;
• determining a warning response for the threats to the targeted VRUs in the conflict zones;
• determining targeting instructions to output a warning for each of the targeted VRUs;
• and
• outputting the targeting instructions and the warning response to one or more warning devices.

An intersection infrastructure warning system for warning vulnerable road users (VRUs) of danger around an intersection, the warning system comprising:

• an edge computing device having a graphics processing unit (GPU), a central processing unit (CPU), a storage device, a communications module configured for wired or wireless communication, and a distributed cloud networking system, the edge computing device being located at the intersection;
• one or more sensors configured to acquire data for determining spatial-temporal data of road users, including the VRUs, in a 360° area around the intersection;
• and
• one or more warning devices configured to output a warning to warn targeted VRUs of the danger around the intersection, wherein
• the GPU is configured to use one or more artificial intelligence (AI) algorithms to process the spatial-temporal data of the road users to determine predictions of the road users, the predictions including at least one of a path, a trajectory, a behavior, and an intent of a road user,
• the GPU is further configured to analyze the predictions of the road users to determine convergences between the predictions of the road users to determine predicted collisions and identify the targeted VRUs,
• in response to determining predicted collisions and identifying the targeted VRUs, the edge computing device is further configured to output targeting instructions and warning response instructions to the one or more warning devices to output a warning to the targeted VRUs, and
• in response to receiving the targeting instructions and the warning response instructions from the edge computing device, the one or more warning devices are further configured to output the warning to the targeted VRU based on the warning response instructions;
• and
• wherein the VRUs and the targeted VRUs are nonmotorists.