RL-GCN: Traffic flow prediction based on graph convolution and reinforcement learning for smart cities.
Hang XingAn ChenXuan ZhangPublished in: Displays (2023)
Keyphrases
- reinforcement learning
- traffic flow
- smart cities
- road traffic
- traffic congestion
- traffic flows
- function approximation
- traffic data
- reinforcement learning algorithms
- intelligent transport systems
- cellular automata
- state space
- smart city
- model free
- travel time
- traffic network
- entry point
- optimal policy
- service integration
- markov decision processes
- traffic light
- multi agent
- machine learning
- traffic patterns
- rl algorithms
- traffic conditions
- lane change
- incident detection
- multi agent systems
- world wide