Study on Signal Control Based on Value of Time and Deep Reinforcement Learning
This paper describes a traffic light control method based on time value and deep reinforcement learning,which is used for real-time control of traffic light intersections and aims to minimize the total wasted time value of intersections.By comparing traditional fixed signal light control methods through simulation experiments,it has been proven that this method can significantly reduce the total time value wasted by the system.
traffic light controlvalue of timedeep reinforcement learning
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