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Since conventional approaches could not adapt to dynamic traffic conditions, reinforcement learning (RL) has attracted more attention to help solve the traffic signal control (TSC) problem.
Traffic signal settings
F. V. Webster · 1958
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Settings for fixed-cycle traffic signals
Alan J. Miller · 1963
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Scats, sydney co-ordinated adaptive traffic system: A traffic responsive method of controlling urban traffic
P. R. Lowrie · 1990
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A real-time traffic signal control system: Architecture, algorithms, and analysis
Pitu Mirchandani and Larry Head · 2001
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The max-pressure controller for arbitrary networks of signalized intersections
Pravin Varaiya · 2013
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Design of reinforcement learning parameters for seamless application of adaptive traffic signal control
Samah El-Tantawy, Baher Abdulhai, and Hossam Abdelgawad · 2014
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Maximum pressure controller for stabilizing queues in signalized arterial networks
Anastasios Kouvelas, Jennie Lioris, S. Alireza Fayazi, and Pravin Varaiya · 2014
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Deep learning
Bengio Y. LeCun Y. and Hinton G · 2015
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Traffic signal timing via deep reinforcement learning
Lv Yisheng Li Li and Wang Feiyue · 2016
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An Experimental Review of Reinforcement Learning Algorithms for Adaptive Traffic Signal Control
Patrick Mannion, Jim Duggan, and Enda Howley · 2016
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Coordinated deep reinforcement learners for traffic light control
Elise Van der Pol and Frans A. Oliehoek · 2016
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A survey on the coordination of connected and automated vehicles at intersections and merging at highway on-ramps
Jackeline Rios-Torres and Andreas A. Malikopoulos · 2017
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A survey on reinforcement learning models and algorithms for traffic signal control
Kok Lim Alvin Yau, Junaid Qadir, Hooi Ling Khoo, Mee Hong Ling, and Peter Komisarczuk · 2017
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Reinforcement Learning: An Introduction
Colight: Learning network-level cooperation for traffic signal control
Hua Wei, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu, and Zhenhui Jessie Li · 2019
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Cityflow: A multi-agent reinforcement learning environment for large scale city traffic scenario
Huichu Zhang, Yaoyao Ding, and Weinan Zhang · 2019
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Learning phase competition for traffic signal control
Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, and Zhenhui Li · 2019
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Toward a thousand lights: Decentralized deep reinforcement learning for large-scale traffic signal control
Chacha Chen, Hua Wei, Nan Xu, Guanjie Zheng, Ming Yang, Yuanhao Xiong, Kai Xu, and Zhenhui Li · 2020
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Deep reinforcement learning for traffic signal control under disturbances: A case study on sunway city, malaysia
Faizan Rasheed, Kok-Lim Alvin Yau, and Yeh-Ching Low · 2020
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Richard S. Sutton and Andrew G. Barto · 2018
Cited alongside, same era.
Presslight: Learning max pressure control to coordinate traffic signals in arterial network
Hua Wei, Chacha Chen, Guanjie Zheng, Kan Wu, Vikash Gayah, Kai Xu, and Zhenhui Li · 2019
Cited alongside, same era.
Deep reinforcement learning for intelligent transportation systems: A survey
Yasin Yilmaz · 2020
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Hierarchically and cooperatively learning traffic signal control
Bingyu Xu, Yaowei Wang, Zhaozhi Wang, Huizhu Jia, and Zongqing Lu · 2021
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