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This paper introduces SynTraC, the first public image-based traffic signal control dataset, aimed at bridging the gap between simulated environments and real-world traffic management challenges.
Playing atari with deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, and Martin Riedmiller · 2013
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Fast r-cnn
Ross Girshick · 2015
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You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
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Deep reinforcement learning with double q-learning
Hado Van Hasselt, Arthur Guez, and David Silver · 2016
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Carla: An open urban driving simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun · 2017
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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
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Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor
Tuomas Haarnoja, Aurick Zhou, Pieter Abbeel, and Sergey Levine · 2018
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Microscopic traffic simulation using sumo
Pablo Alvarez Lopez, Michael Behrisch, Laura Bieker-Walz, Jakob Erdmann, Yun-Pang Flötteröd, Robert Hilbrich, Leonhard Lücken, Johannes Rummel, Peter Wagner, and Evamarie Wießner · 2018
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Intellilight: A reinforcement learning approach for intelligent traffic light control
Hua Wei, Guanjie Zheng, Huaxiu Yao, and Zhenhui Li · 2018
Cited alongside, same era.
A review on traffic monitoring system techniques
Neeraj Kumar Jain, RK Saini, and Preeti Mittal · 2019
Cited alongside, same era.
Open traffic lights: a strategy for publishing and preserving traffic lights data
Brecht Van de Vyvere, Pieter Colpaert, Erik Mannens, and Ruben Verborgh · 2019
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.
Conservative q-learning for offline reinforcement learning
Aviral Kumar, Aurick Zhou, George Tucker, and Sergey Levine · 2020
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Offline reinforcement learning for road traffic control
Mayuresh Kunjir and Sanjay Chawla · 2022
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A traffic signal and loop detector dataset of an urban intersection regulated by a fully actuated signal control system
Alexander Genser, Michail A Makridis, Kaidi Yang, Lukas Abmühl, Monica Menendez, and Anastasios Kouvelas · 2023
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Libsignal: an open library for traffic signal control
Hao Mei, Xiaoliang Lei, Longchao Da, Bin Shi, and Hua Wei · 2023
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Data might be enough: Bridge real-world traffic signal control using offline reinforcement learning
Liang Zhang and Jianming Deng · 2023
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Cityflow: A multi-agent reinforcement learning environment for large scale city traffic scenario
Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, et al · 2019
Cited alongside, same era.
Learning phase competition for traffic signal control
Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, et al · 2019
Cited alongside, same era.
Cityflower: An efficient and realistic traffic simulator with embedded machine learning models
Longchao Da, Chen Chu, Weinan Zhang, and Hua Wei · 2024
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Crosslight: Offline-to-online reinforcement learning for cross-city traffic signal control
Qian Sun, Rui Zha, Le Zhang, Jingbo Zhou, Yu Mei, Zhiling Li, and Hui Xiong · 2024
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