SIGNAL CONTROL APPARATUS AND SIGNAL CONTROL METHOD BASED ON REINFORCEMENT LEARNING

摘要

A signal control apparatus and a signal control method are presented. According to an embodiment disclosed in the present specification, the signal control apparatus controls traffic signals at intersections, on the basis of a reinforcement learning model, and comprises: a photographing unit that acquires a plurality of intersection images by respectively photographing a plurality of intersections; a storage unit that stores a program for signal control; at least one processor; and a control unit that, by executing the program, calculates control information that controls traffic lights at each of the plurality of intersections, by using the intersection images acquired by the photographing unit. The control unit may calculate, by using a plurality of agents based on a reinforcement learning model that has been trained by outputting, by using status information and rewards as input values, action information for controlling the traffic lights, the control information that controls the traffic lights at each of the plurality of intersections, on the basis of the action information calculated by the plurality of agents into which the status information calculated on the basis of the plurality of respective intersection images has been input.