Recent advances in reinforcement learning for traffic signal control: A survey of models and evaluation

H Wei, G Zheng, V Gayah, Z Li - ACM SIGKDD Explorations Newsletter, 2021 - dl.acm.org
Traffic signal control is an important and challenging real-world problem that has recently
received a large amount of interest from both transportation and computer science …

[HTML][HTML] Reinforcement learning in urban network traffic signal control: A systematic literature review

M Noaeen, A Naik, L Goodman, J Crebo, T Abrar… - Expert Systems with …, 2022 - Elsevier
Improvement of traffic signal control (TSC) efficiency has been found to lead to improved
urban transportation and enhanced quality of life. Recently, the use of reinforcement …

Deep reinforcement learning for intelligent transportation systems: A survey

A Haydari, Y Yılmaz - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Latest technological improvements increased the quality of transportation. New data-driven
approaches bring out a new research direction for all control-based systems, eg, in …

A survey on traffic signal control methods

H Wei, G Zheng, V Gayah, Z Li - ar** and comparing reinforcement learning (RL)-based traffic
signal controllers. The toolkit includes implementation of state-of-the-art deep-RL algorithms …

Network-wide traffic signal control based on the discovery of critical nodes and deep reinforcement learning

M Xu, J Wu, L Huang, R Zhou, T Wang… - Journal of Intelligent …, 2020 - Taylor & Francis
To improve the traffic efficiency of city-wide road networks, we propose a traffic signal control
framework that prioritizes the optimal control policies on critical nodes in road networks. In …

Traffic signal optimization through discrete and continuous reinforcement learning with robustness analysis in downtown Tehran

M Aslani, S Seipel, MS Mesgari, M Wiering - Advanced Engineering …, 2018 - Elsevier
Traffic signal control plays a pivotal role in reducing traffic congestion. Traffic signals cannot
be adequately controlled with conventional methods due to the high variations and …

Stealthy black-box attack with dynamic threshold against marl-based traffic signal control system

Y Ren, H Zhang, L Du, Z Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Multiagent reinforcement learning (MARL) promises outstanding performance for
multiintersection traffic signal control systems (TSCS), enabling intelligent administration of …