A scalable approach to optimize traffic signal control with federated reinforcement learning

Keyphrases

• Scalable Approaches 100%
• Traffic Signal Control 100%
• Federated Learning 100%
• Reinforcement Learning 60%
• Learning-based 20%
• Energy Consumption 20%
• Distinctive Features 20%
• Internet of Things 20%
• Time Consumption 20%
• Control Task 20%
• Congestion 20%
• Travel Time 20%
• Waiting Time 20%
• Traffic Network 20%
• Distributed Learning 20%
• Feature Information 20%
• Training Model 20%
• Queuing Delay 20%
• Intelligent Transportation 20%
• Deep Learning 20%
• Global Model 20%
• Training Process 20%
• State Structure 20%
• Centralized Learning 20%
• Monaco 20%
• Learning Neural Network 20%
• Control Research 20%
• Local Agent 20%

INIS

• control 100%
• learning 100%
• signals 100%
• layers 11%
• information 11%
• convergence 11%
• variations 11%
• emission 11%
• energy consumption 11%
• capacity 11%
• internet 11%
• clouds 11%
• tuning 11%
• neural networks 11%
• travel 11%
• monaco 11%

Computer Science

• Reinforcement Learning 100%
• Traffic Signal 100%
• Federated Learning 40%
• Time Consumption 20%
• Traffic Network 20%
• Distinctive Feature 20%
• Deep Learning Method 20%
• Distributed Learning 20%
• Feature Information 20%
• Training Process 20%
• Energy Consumption 20%
• Neural Network 20%
• Internet-Of-Things 20%