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AI4UM-21: A Methodology for the Development of RL-Based Adaptive Traffic Signal Controllers
AI - Sumo Based Simulation for Smart Traffic Control| AI - Sumo Based automatic smart control system
Joint Pedestrian and Vehicle Traffic Optimization in Urban Environments using Reinforcement Learning
Reinforcement Learning based Traffic Control: Intersection and Network Level Solutions
Teaching Machines to Direct Traffic through Deep Reinforcement Learning
Autonomous Traffic Signal Optimization using AI | Real-Time Traffic Simulation
AI-Based Traffic Signal Optimization using Reinforcement Learning
AI-Based Traffic Signal Control using DQN | Reinforcement Learning Project Demo
Joint Pedestrian and Vehicle Traffic Optimization in Urban Environments using Reinforcement Learning
COMP 767 Reinforcement Learning Project -- RL Control in Special Transportation Scenarios.
Alexandre Bayen (Berkeley) Deep Reinforcement Learning for Vehicle Control
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Last Updated: August 16, 2026
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