Multimodal Traffic Light Control with Connected Vehicles: A Deep Reinforcement Learning Approach.
Runhao ZhouTobias NouschDjango AdamAngelika HirrleMeng WangPublished in: MT-ITS (2023)
Keyphrases
- reinforcement learning
- traffic light
- traffic control
- real time
- traffic flow
- function approximation
- state space
- multi modal
- autonomous vehicles
- markov decision processes
- learning algorithm
- traffic management
- multimodal interaction
- machine learning
- road traffic
- traffic congestion
- multi agent
- model free
- traffic accidents
- connected components
- intelligent control
- vehicle detection
- vehicle speed
- moving vehicles
- reinforcement learning algorithms
- vehicle tracking
- traffic simulator
- intelligent transportation systems
- long distance
- control strategies
- transfer learning
- hidden markov models
- multi agent systems
- neural network