APPARATUS AND METHOD FOR CONTROLLING TRAFFIC SIGNALS OF TRAFFIC LIGHTS IN SUB-AREA BY USING REINFORCEMENT LEARNING MODEL
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United States of America Patent
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Issued Date -
Jan 11, 2024
app pub date -
Jul 21, 2022
filing date -
Jul 8, 2022
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Abstract
Provided are methods and apparatuses for controlling traffic signals of traffic lights in a sub-area by using a neural network model. The method according to an embodiment of the present disclosure may configure state information of a sub-area by using downstream information obtained in a current cycle time for each of a plurality of intersections included in the sub-area. In addition, the method may input the state information to a trained reinforcement learning model, and obtain action information of the sub-area including green times and offsets, by using an output from the trained reinforcement learning model. Furthermore, the method may generate coordinated signal values for applying the action to traffic lights in the sub-area in a subsequent cycle time.
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