Controlling Traffic with Reinforcement Learning
Finally a good real-life use case for Reinforcement Learning (RL): traffic control! In this talk I will show you how we hooked up traffic simulation software to Python and how we built our own custom gym environment to run RL experiments with keras-rl for a simple 4-way intersection.
Reinforcement Learning based Traffic Signal Control Validated in Real-Time Real World Traffic
We implemented distributed Q-Learning based traffic signal control to optimize vehicles, pedestrians, and neighborhood traffic. Simulations of any cities with real-world map and traffic data show significant performance gains. For more details, please check: site