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Traffic signal control is an important and challenging real-world problem, which aims to minimize the travel time of vehicles by coordinating their movements at the road intersections.
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Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal Control
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Alibaba’s ’City Brain’ is slashing congestion in its hometown
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Time Critic Policy Gradient Methods for Traffic Signal Control in Complex and Congested Scenarios. In KDD
Stefano Giovanni Rizzo, Giovanna Vantini, and Sanjay Chawla. 2019 · 2019
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STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Traffic Light Control
Yanan Wang, Tong Xu, Xin Niu, Chang Tan, Enhong Chen, and Hui Xiong. 2019 · 2019
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DiDi’s Introduces Smart Transportation Solution for Traffic Management
Business Wire. 2018 · 2019
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Learning Traffic Signal Control from Demonstrations. In CIKM
Yuanhao Xiong, Guanjie Zheng, Kai Xu, and Zhenhui Li. 2019 · 2019
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Integrating independent and centralized multi-agent reinforcement learning for traffic signal network optimization
Zhi Zhang, Jiachen Yang, and Hongyuan Zha. 2019b · 2019
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Diagnosing Reinforcement Learning for Traffic Signal Control
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Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control. In AAAI
Chacha Chen, Hua Wei, Nan Xu, Guanjie Zheng, et al · 2020
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MetaLight: Value-based Meta-reinforcement Learning for Online Universal Traffic Signal Control. In AAAI
Xinshi Zang, Huaxiu Yao, Guanjie Zheng, Nan Xu, Kai Xu, and Zhenhui Li. 2020 · 2020
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Review of road traffic control strategies
Markos Papageorgiou, Christina Diakaki, Vaya Dinopoulou, Apostolos Kotsialos, and Yibing Wang. 2003 · 2067
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