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Journal of Intelligent Transportation Systems
Technology, Planning, and Operations
Volume 24, 2020 - Issue 1
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Original Articles

Network-wide traffic signal control based on the discovery of critical nodes and deep reinforcement learning

Ming XuDepartment of Civil Engineering, Tsinghua University, Beijing, China; View further author information
,
Jianping WuDepartment of Civil Engineering, Tsinghua University, Beijing, China; View further author information
,
Ling HuangSchool of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China; Correspondence[email protected]
View further author information
,
Rui ZhouTelecommunications Engineering with Management, International School, Beijing University of Posts and Telecommunications, Beijing, China; View further author information
,
Tian WangE-commerce and Law, International School, Beijing University of Posts and Telecommunications, Beijing, ChinaView further author information
&
Dongmei HuDepartment of Civil Engineering, Tsinghua University, Beijing, China; View further author information
Pages 1-10 | Received 29 Nov 2017, Accepted 20 Sep 2018, Published online: 03 Jan 2019

Citations (38)

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Facundo Storani, Roberta Di Pace & Bart De Schutter. (2023) A traffic responsive control framework for signalized junctions based on hybrid traffic flow representation. Journal of Intelligent Transportation Systems 27:5, pages 606-625.
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Tathagatha Khan, Puja Dutta & Smruti Sourava Mohapatra. (2022) Categorization of gaps at mid-block median openings in heterogeneous traffic: adjudging the applicability of support vector machine and occupancy time methods. Transportation Letters 0:0, pages 1-14.
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Kevin O’Keeffe, Sam Anklesaria, Paolo Santi & Carlo Ratti. (2022) Using reinforcement learning to minimize taxi idle times. Journal of Intelligent Transportation Systems 26:4, pages 498-509.
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Jing Zhao, Kevin Kiptoo Kigen & Xiaomei Xia. (2022) An alternative design for traffic intersections with work zones by using pre-signals. Journal of Intelligent Transportation Systems 26:2, pages 168-182.
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Dongfang Ma, Jiawang Xiao & Xiaolong Ma. (2021) A decentralized model predictive traffic signal control method with fixed phase sequence for urban networks. Journal of Intelligent Transportation Systems 25:5, pages 455-468.
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Articles from other publishers (33)

Pengli Lu, Yue Luo & Teng Zhang. (2023) A critical node identification approach for complex networks combining self-attention and ResNet. International Journal of Modern Physics C 35:01.
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Jianbin Huang, Qinglin Tan, Ruijie Qi & He Li. (2023) RELight: a random ensemble reinforcement learning based method for traffic light control. Applied Intelligence.
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Yu Han, Meng Wang & Ludovic Leclercq. (2023) Leveraging reinforcement learning for dynamic traffic control: A survey and challenges for field implementation. Communications in Transportation Research 3, pages 100104.
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Zundong Zhang, Wei Zhang, Yuke Liu & Gang Xiong. (2023) Mean Field Multi-Agent Reinforcement Learning Method for Area Traffic Signal Control. Electronics 12:22, pages 4686.
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Tathagatha Khan, Adheesh Kumar Vivek, Smruti Sourava Mohapatra & Ashish Kumar Patnaik. (2023) Realistic Approach for Capacity Estimation of U-Turns Under Heterogeneous Traffic Condition. Transportation Research Record: Journal of the Transportation Research Board.
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Wenjiao Zai & Dan Yang. (2023) Improved Deep Reinforcement Learning for Intelligent Traffic Signal Control Using ECA_LSTM Network. Sustainability 15:18, pages 13668.
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Youqing Chen, Huizhen Zhang, Minglei Liu, Ming Ye, Hui Xie & Yubiao Pan. (2023) Traffic signal optimization control method based on adaptive weighted averaged double deep Q network. Applied Intelligence 53:15, pages 18333-18354.
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Dimitrios Tsitsokas, Anastasios Kouvelas & Nikolas Geroliminis. (2023) Two-layer adaptive signal control framework for large-scale dynamically-congested networks: Combining efficient Max Pressure with Perimeter Control. Transportation Research Part C: Emerging Technologies 152, pages 104128.
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Jia Wu, Yunchuan Ran, Yican Lou & Lingzhou Shu. (2023) CenLight: Centralized traffic grid signal optimization via action and state decomposition. IET Intelligent Transport Systems 17:6, pages 1247-1261.
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Ruixiang Cheng, Zhihao Qiao, Jiarui Li & Jiejun Huang. (2023) Traffic Signal Timing Optimization Model Based on Video Surveillance Data and Snake Optimization Algorithm. Sensors 23:11, pages 5157.
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Bin Wang, ZhengKun He, JinFang Sheng & YingXian Liu. (2023) Multi-agent deep reinforcement learning with actor-attention-critic for traffic light control. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, pages 095440702311679.
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Weibin Zhang, Chen Yan, Xiaofeng Li, Liangliang Fang, Yao-Jan Wu & Jun Li. (2023) Distributed Signal Control of Arterial Corridors Using Multi-Agent Deep Reinforcement Learning. IEEE Transactions on Intelligent Transportation Systems 24:1, pages 178-190.
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Hao Huang, Zhiqun Hu, Zhaoming Lu & Xiangming Wen. (2023) Network-Scale Traffic Signal Control via Multiagent Reinforcement Learning With Deep Spatiotemporal Attentive Network. IEEE Transactions on Cybernetics 53:1, pages 262-274.
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Ashish Tigga, Lopamudra Hota, Sanjeev Patel & Arun Kumar. (2022) A Deep Q-Learning-Based Adaptive Traffic Light Control System for Urban Safety. A Deep Q-Learning-Based Adaptive Traffic Light Control System for Urban Safety.
Jorge Laval & Hao Zhou. (2022) Congested Urban Networks Tend to Be Insensitive to Signal Settings: Implications for Learning-Based Control. IEEE Transactions on Intelligent Transportation Systems 23:12, pages 24904-24917.
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Bin Wang, Zhengkun He, Jinfang Sheng & Yu Chen. (2022) Deep Reinforcement Learning for Traffic Light Timing Optimization. Processes 10:11, pages 2458.
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Qi-Wei Sun, Shi-Yuan Han, Jin Zhou, Yue-Hui Chen & Kang Yao. (2022) Deep Reinforcement-Learning-Based Adaptive Traffic Signal Control with Real-Time Queue Lengths. Deep Reinforcement-Learning-Based Adaptive Traffic Signal Control with Real-Time Queue Lengths.
Xinlong Huang, Jian Chen, Ming Cai, Wei Wang & Xiping Hu. (2022) Traffic Node Importance Evaluation Based on Clustering in Represented Transportation Networks. IEEE Transactions on Intelligent Transportation Systems 23:9, pages 16622-16631.
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A. Zeynivand, A. Javadpour, S. Bolouki, A.K. Sangaiah, F. Ja’fari, P. Pinto & W. Zhang. (2022) Traffic flow control using multi-agent reinforcement learning. Journal of Network and Computer Applications, pages 103497.
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Yaohui An & Jing Zhang. (2022) Traffic Signal Control Method Based on Modified Proximal Policy Optimization. Traffic Signal Control Method Based on Modified Proximal Policy Optimization.
Tie-Qiao Tang, Yong Gui & Jian Zhang. (2022) ATAC-Based Car-Following Model for Level 3 Autonomous Driving Considering Driver’s Acceptance. IEEE Transactions on Intelligent Transportation Systems 23:8, pages 10309-10321.
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Omid Elhaki & Khoshnam Shojaei. (2022) Output-feedback robust saturated actor–critic multi-layer neural network controller for multi-body electrically driven tractors with -trailer guaranteeing prescribed output constraints . Robotics and Autonomous Systems 154, pages 104106.
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Mohammad Noaeen, Atharva Naik, Liana Goodman, Jared Crebo, Taimoor Abrar, Zahra Shakeri Hossein Abad, Ana L.C. Bazzan & Behrouz Far. (2022) Reinforcement learning in urban network traffic signal control: A systematic literature review. Expert Systems with Applications 199, pages 116830.
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Ammar Haydari & Yasin Yilmaz. (2022) Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey. IEEE Transactions on Intelligent Transportation Systems 23:1, pages 11-32.
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Zhi Chen, Shengjie Zhao & Hao Deng. 2022. Artificial Neural Networks and Machine Learning – ICANN 2022. Artificial Neural Networks and Machine Learning – ICANN 2022 63 74 .
Zibo Ma, Tongchao Cui, Wenxing Deng, Fengyao Jiang & Liguo Zhang. (2021) Adaptive Optimization of Traffic Signal Timing via Deep Reinforcement Learning. Journal of Advanced Transportation 2021, pages 1-14.
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Xuanchen Xiang, Simon Foo & Huanyu Zang. (2021) Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems Part 2—Applications in Transportation, Industries, Communications and Networking and More Topics. Machine Learning and Knowledge Extraction 3:4, pages 863-878.
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Chenghao Li, Zhiqun Hu, Zhaoming Lu & Xiangming Wen. (2021) Cooperative Intersection with Misperception in Partially Connected and Automated Traffic. Sensors 21:15, pages 5003.
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Yanyun Tao, Guoqi Yue & Xiang Wang. (2020) Dual-attention network with multitask learning for multistep short-term speed prediction on expressways. Neural Computing and Applications 33:12, pages 7103-7124.
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Zuobin Ying, Yun Zhang, Shuanglong Cao, Shengmin Xu & Maode Ma. (2020) OIDPR: Optimized insulin dosage via privacy‐preserving reinforcement learning. Transactions on Emerging Telecommunications Technologies 32:5.
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Moein Raeisi & Amir Soltany Mahboob. (2021) Intelligent Control of Urban Intersection Traffic Light Based on Reinforcement Learning Algorithm. Intelligent Control of Urban Intersection Traffic Light Based on Reinforcement Learning Algorithm.
Md Nasim Khan & Mohamed M. Ahmed. (2020) Trajectory-level fog detection based on in-vehicle video camera with TensorFlow deep learning utilizing SHRP2 naturalistic driving data. Accident Analysis & Prevention 142, pages 105521.
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Lyuchao Liao, Jierui Liu, Xinke Wu, Fumin Zou, Jengshyang Pan, Qi Sun, Shengbo Eben Li & Maolin Zhang. (2020) Time Difference Penalized Traffic Signal Timing by LSTM Q-Network to Balance Safety and Capacity at Intersections. IEEE Access 8, pages 80086-80096.
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