RUTGe: Realistic Urban Traffic Generator for Urban Environments Using Deep Reinforcement Learning and SUMO Simulator

Social Sciences

• Urban Environment 100%
• Urban Planner 100%
• Urban Traffic 100%
• Deep Reinforcement Learning 100%
• Pedestrian 50%
• Climate Change 50%
• Traffic Congestion 50%
• Public Transport 50%
• Statistical Data 50%
• Political Behavior 50%
• Green Space 50%
• Pedestrian Zone 50%
• Transport Provider 50%