Research on Cooperative Control of Traffic Signals based on Deep Reinforcement Learning
Author:
Affiliation:
1. School of Automation, Beijing Information Science & Technology University,Beijing,China,100192
2. School of Electronics & Control Engineering, North China University of Technology,Beijing,China,100144
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10165684/10165785/10167232.pdf?arnumber=10167232
Reference12 articles.
1. A Deep Reinforcement Learning Network for Traffic Light Cycle Control
2. FECO: An Efficient Deep Reinforcement Learning-Based Fuel-Economic Traffic Signal Control Scheme;boukerche;IEEE Transactions on Sustainable Computing,2021
3. Traffic signal control using end-to-end off-policy deep reinforcement learning;chu;IEEE Transactions on Intelligent Transportation Systems,2021
4. Biased Pressure: Cyclic Reinforcement Learning Model for Intelligent Traffic Signal Control
5. Augmenting Traffic Signal Control Systems for Urban Road Networks With Connected Vehicles
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