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Multi-agent reinforcement learning (MARL) has been applied and shown great potential in multi-intersections traffic signal control, where multiple agents, one for each intersection, must cooperate together to optimize traffic flow.
A survey on traffic signal control methods
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Colight: Learning network-level cooperation for traffic signal control
Wei, H.; Xu, N.; Zhang, H.; Zheng, G.; Zang, X.; Chen, C.; Zhang, W.; Zhu, Y.; Xu, K.; and Li, Z. 2019b · 1922
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Learning phase competition for traffic signal control
Zheng, G.; Xiong, Y.; Zang, X.; Feng, J.; Wei, H.; Zhang, H.; Li, Y.; Xu, K.; and Li, Z. 2019 · 1972
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Normalized cuts and image segmentation
Shi, J.; and Malik, J. 2000 · 2000
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Multi-agent reinforcement learning for traffic light control
Wiering, M. A. 2000 · 2000
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Finite-time analysis of the multiarmed bandit problem
Auer, P.; Cesa-Bianchi, N.; and Fischer, P. 2002 · 2002
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Self-organizing traffic lights
Gershenson, C. 2004 · 2004
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Traffic signal timing manual
Koonce, P.; and Rodegerdts, L. 2008 · 2008
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Multiagent reinforcement learning for urban traffic control using coordination graphs
Kuyer, L.; Whiteson, S.; Bakker, B.; and Vlassis, N. 2008 · 2008
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Reinforcement learning with function approximation for traffic signal control
Prashanth, L.; and Bhatnagar, S. 2010 · 2010
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Self-organizing traffic lights: A realistic simulation
Cools, S.-B.; Gershenson, C.; and D’Hooghe, B. 2013 · 2013
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The max-pressure controller for arbitrary networks of signalized intersections
Varaiya, P. 2013 · 2013
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Large-scale traffic grid signal control with regional reinforcement learning
Chu, T.; Qu, S.; and Wang, J. 2016 · 2016
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Coordinated deep reinforcement learners for traffic light control
Van der Pol, E.; and Oliehoek, F. A. 2016 · 2016
Intellilight: A reinforcement learning approach for intelligent traffic light control
Wei, H.; Zheng, G.; Yao, H.; and Li, Z. 2018 · 2018
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Hierarchical graph representation learning with differentiable pooling
Ying, R.; You, J.; Morris, C.; Ren, X.; Hamilton, W. L.; and Leskovec, J. 2018 · 2018
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Multi-agent deep reinforcement learning for large-scale traffic signal control
Chu, T.; Wang, J.; Codecà, L.; and Li, Z. 2019 · 2019
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CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
Zhang, H.; Feng, S.; Liu, C.; Ding, Y.; Zhu, Y.; Zhou, Z.; Zhang, W.; Yu, Y.; Jin, H.; and Li, Z. 2019 · 2019
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Toward a thousand lights: Decentralized deep reinforcement learning for large-scale traffic signal control
Chen, C.; Wei, H.; Xu, N.; Zheng, G.; Yang, M.; Xiong, Y.; Xu, K.; and Li, Z. 2020 · 2020
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Cited alongside, same era.
Learning-based traffic signal control algorithms with neighborhood information sharing: An application for sustainable mobility
Aziz, H. A.; Zhu, F.; and Ukkusuri, S. V. 2018 · 2018
Cited alongside, same era.
Qmix: Monotonic value function factorisation for deep multi-agent reinforcement learning
Rashid, T.; Samvelyan, M.; Schroeder, C.; Farquhar, G.; Foerster, J.; and Whiteson, S. 2018 · 2018
Cited alongside, same era.
Presslight: Learning max pressure control to coordinate traffic signals in arterial network
Wei, H.; Chen, C.; Zheng, G.; Wu, K.; Gayah, V.; Xu, K.; and Li, Z. 2019a
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Feudal Multi-Agent Deep Reinforcement Learning for Traffic Signal Control
Ma, J.; and Wu, F. 2020 · 2020
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Monte-Carlo Tree Search for Scalable Coalition Formation
Wu, F.; and Ramchurn, S. D. 2020 · 2020
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Hierarchically and Cooperatively Learning Traffic Signal Control
Xu, B.; Wang, Y.; Wang, Z.; Jia, H.; and Lu, Z. 2021 · 2021
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