The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality. (arXiv:2206.11996v1 [cs.AI])

Traffic signal control (TSC) is a high-stakes domain that is growing in
importance as traffic volume grows globally. An increasing number of works are
applying reinforcement learning (RL) to TSC; RL can draw on an abundance of
traffic data to improve signalling efficiency. However, RL-based signal
controllers have never been deployed. In this work, we provide the first review
of challenges that must be addressed before RL can be deployed for TSC. We
focus on four challenges involving (1) uncertainty …

ai arxiv challenges deal learning moving reality reinforcement reinforcement learning review signal systems traffic