Intelligent Transportation | Traffic Control Adaptive urban traffic signal control based on enhanced deep reinforcement learning. June 19, 2024
Traffic Engineering | Transportation Engineering | Urban Planning OAS Deep Q-Learning-Based Fast and Smooth Control Method for Traffic Signal Transition in Urban Arterial Tidal Lanes. March 28, 2024
Intelligent Transportation | Traffic Engineering A scalable approach to optimize traffic signal control with federated reinforcement learning. November 6, 2023
Artificial Intelligence | Reinforcement Learning | Traffic Engineering CCGN: Centralized collaborative graphical transformer multi-agent reinforcement learning for multi-intersection signal free-corridor. August 7, 2023
Artificial Intelligence | Traffic Engineering Deep Reinforcement Meta-Learning and Self-Organization in Complex Systems: Applications to Traffic Signal Control. July 29, 2023
Traffic Engineering | Urban Planning Reducing Urban Traffic Congestion Using Deep Learning and Model Predictive Control. April 13, 2023
Computer Science | Transportation Engineering Deep Reinforcement Learning for Traffic Signal Control Model and Adaptation Study. November 26, 2022