Optimizing gate control coordination signal for urban traffic network boundaries using multi-agent deep reinforcement learning.
Leilei KangHao HuangWeike LuLan LiuPublished in: Expert Syst. Appl. (2024)
Keyphrases
- multi agent
- reinforcement learning
- traffic network
- traffic signal
- traffic flows
- urban areas
- multi agent systems
- urban traffic
- transportation networks
- traffic congestion
- traffic light
- cooperative
- optimal control
- traffic flow
- control policy
- robot control
- traffic control
- multiagent systems
- learning algorithm
- multiple agents
- control method
- process control
- control system
- control strategies
- dynamic programming
- traffic management
- markov decision processes
- optimal policy
- mobile robot
- travel time
- control strategy
- path planning
- supply chain