Leveraging reinforcement learning for dynamic traffic control: A survey and challenges for field implementation

In recent years, the advancement of artificial intelligence techniques has led to significant interest in reinforcement learning (RL) within the traffic and transportation community. Dynamic traffic control has emerged as a prominent application field for RL in traffic systems. This paper presents a... View More