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Traffic signal control (TSC) is a high-stakes domain that is growing in importance as traffic volume grows globally.
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An experimental review of reinforcement learning algorithms for adaptive traffic signal control,
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Statistical study of the impact of adaptive traffic signal control on traffic and transit performance,
C. Slavin, W. Feng, M. Figliozzi, P. Koonce, · 2016
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Superhuman AI for heads-up no-limit poker: Libratus beats top professionals,
N. Brown, T. Sandholm, · 2017
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20 years of reality gap: a few thoughts about simulators in evolutionary robotics,
J.-B. Mouret, K. Chatzilygeroudis, · 2017
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A survey on reinforcement learning models and algorithms for traffic signal control,
K.-L. A. Yau, J. Qadir, H. L. Khoo, M. H. Ling, P. Komisarczuk, · 2017
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Deep reinforcement learning for traffic signal control: A review,
F. Rasheed, K.-L. A. Yau, R. M. Noor, C. Wu, Y.-C. Low, · 2020
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IEDQN: Information exchange DQN with a centralized coordinator for traffic signal control,
D. Xie, Z. Wang, C. Chen, D. Dong, · 2020
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J. Ma, F. Wu, · 2020
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A. M. T. Emtenan, C. M. Day, · 2020
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Domain randomization for transferring deep neural networks from simulation to the real world,
J. Tobin, R. Fong, A. Ray, J. Schneider, W. Zaremba, P. Abbeel, · 2017
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Distributed cooperative reinforcement learning-based traffic signal control that integrates V2X networks’ dynamic clustering,
W. Liu, G. Qin, Y. He, F. Jiang, · 2017
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Traffic signal control by distributed reinforcement learning with min-sum communication,
T. Chu, J. Wang, · 2017
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Leading pedestrian intervals: Treating the decision to implement as a marginal benefit–cost problem,
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S. Kothuri, A. Kading, E. Smaglik, C. Sobie, Improving Walkability Through Control Strategies at Signalized Intersections, Technical Report NITC-RR-782, National Institute for Transportation and Communities, 2017
2017
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F. R. Ward, I. Habli, · 2020
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J. Ault, J. P. Hanna, G. Sharon, · 2020
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M. Essa, T. Sayed, · 2020
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Multi-objective reinforcement learning approach for improving safety at intersections with adaptive traffic signal control,
Y. Gong, M. Abdel-Aty, J. Yuan, Q. Cai, · 2020
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Time difference penalized traffic signal timing by LSTM Q-network to balance safety and capacity at intersections,
L. Liao, J. Liu, X. Wu, F. Zou, J. Pan, Q. Sun, S. E. Li, M. Zhang, · 2020
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B. Yu, J. Guo, Q. Zhao, J. Li, W. Rao, · 2020
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S. Smith, Surtrac for the People: Upgrading the Surtrac Pittsburgh Deployment to incorporate Pedestrian Friendly Extensions and Remote Monitoring Advances, Technical Report 01730614, Mobility21, 2020
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D. Schrank, L. Albert, B. Eisele, T. Lomax, 2021 Urban Mobility Report, Technical Report, Texas A&M Transportation Institute, 2021
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B. R. Kiran, I. Sobh, V. Talpaert, P. Mannion, A. A. A. Sallab, S. Yogamani, P. Pérez, · 2021
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H. Wei, G. Zheng, V. Gayah, Z. Li, · 2021
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CVLight: Decentralized learning for adaptive traffic signal control with connected vehicles,
W. Li, M. Zhao, Y. Fu, K. Ruan, X. Di, · 2021
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Multi-agent reinforcement learning: A selective overview of theories and algorithms,
K. Zhang, Z. Yang, T. Başar, · 2021
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Quantifying the impact of non-stationarity in reinforcement learning-based traffic signal control,
L. N. Alegre, A. L. Bazzan, B. C. da Silva, · 2021
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Z. Li, H. Yu, G. Zhang, S. Dong, C.-Z. Xu, · 2021
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IHG-MA: Inductive heterogeneous graph multi-agent reinforcement learning for multi-intersection traffic signal control,
S. Yang, B. Yang, Z. Kang, L. Deng, · 2021
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SUNRISE: A simple unified framework for ensemble learning in deep reinforcement learning,
K. Lee, M. Laskin, A. Srinivas, P. Abbeel, · 2021
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S. M. A. B. A. Islam, M. Tajalli, R. Mohebifard, A. Hajbabaie, · 2021
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Z. Zeng, · 2021
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Hierarchical traffic signal optimization using reinforcement learning and traffic prediction with long-short term memory,
M. Abdoos, A. L. Bazzan, · 2021
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M. Noaeen, A. Naik, L. Goodman, J. Crebo, T. Abrar, Z. S. H. Abad, A. L. Bazzan, B. Far, · 2022
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Reinforcement learning in healthcare: A survey,
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