Importance

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Abstract

Apparatus for traffic control at an intersection is described. The apparatus has a neural network architecture to determine priorities for a set of connected vehicles present at the intersection and a trajectory conflict engine to receive the priorities for the set of connected vehicles present at the intersection and to determine timing data for occupation of crossing points of the intersection that avoid collisions between the set of connected vehicles. The neural network architecture maps an observation tensor for lanes of the intersection to a priority tensor for the lanes of the intersection. The observation tensor contains kinematics data for vehicles in the lanes of the intersection. The apparatus uses the timing data to instruct movement of the set of connected vehicles across the intersection.

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First Claim