Regional Intelligent Traffic Signal Control System Based on Multi-agent Deep Reinforcement Learning
Author:
Affiliation:
1. School of Computing & Data Science, Xiamen University Malaysia,Sepang,Selangor,Malaysia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10150427/10150444/10150595.pdf?arnumber=10150595
Reference20 articles.
1. Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control
2. Multi-agent deep reinforcement learning for large-scale traffic signal control;chu;IEEE Transactions on Intelligent Transportation Systems,2019
3. An Intersection Signal Control Method Based on Deep Reinforcement Learning
4. Traffic light control using deep policy‐gradient and value‐function‐based reinforcement learning
5. IEDQN: Information Exchange DQN with a Centralized Coordinator for Traffic Signal Control
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1. An Approach to Multi-agent Deep Q-Network Optimization of Signal Control in Multi-intersection Road Environments to Enhance Urban Traffic Flow;Communications in Computer and Information Science;2024
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