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Journal of Intelligent Transportation Systems
Technology, Planning, and Operations
Volume 20, 2016 - Issue 2
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Original Articles

Estimating Missing Traffic Volume Using Low Multilinear Rank Tensor Completion

Bin RanDepartment of Civil and Environmental Engineering, University of Wisconsin–Madison, Madison, Wisconsin, USA
,
Huachun TanDepartment of Transportation Engineering, Beijing Institute of Technology, Beijing, P.R. ChinaCorrespondence[email protected]
,
Jianshuai FengDepartment of Transportation Engineering, Beijing Institute of Technology, Beijing, P.R. China
,
Wuhong WangDepartment of Transportation Engineering, Beijing Institute of Technology, Beijing, P.R. China
,
Yang ChengDepartment of Civil and Environmental Engineering, University of Wisconsin–Madison, Madison, Wisconsin, USA
&
Peter JinDepartment of Civil and Environmental Engineering, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA
Pages 152-161 | Published online: 06 May 2015

Citations (20)

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Read on this site (3)

Jinjun Tang, Xinshao Zhang, Weiqi Yin, Yajie Zou & Yinhai Wang. (2021) Missing data imputation for traffic flow based on combination of fuzzy neural network and rough set theory. Journal of Intelligent Transportation Systems 25:5, pages 439-454.
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Linchao Li, Xu Qu, Jian Zhang, Yonggang Wang & Bin Ran. (2019) Traffic speed prediction for intelligent transportation system based on a deep feature fusion model. Journal of Intelligent Transportation Systems 23:6, pages 605-616.
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Elvira Thonhofer, Elisabeth Luchini & Stefan Jakubek. (2017) A flexible, adaptive traffic network simulation with parameter estimation. Journal of Intelligent Transportation Systems 21:1, pages 63-77.
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Articles from other publishers (17)

Liangyu Tay, Joanne Mun-Yee Lim, Shiuan-Ni Liang, Chua Kah Keong & Yong Haur Tay. (2023) Urban traffic volume estimation using intelligent transportation system crowdsourced data. Engineering Applications of Artificial Intelligence 126, pages 107064.
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Xiaoyue LiRan Sun, James SharpnackYueyue Fan. (2023) Understanding Origin-Destination Ride Demand with Interpretable and Scalable Nonnegative Tensor Decomposition. Transportation Science.
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Haojie Xie, Yongshun Gong & Xiangjun Dong. (2023) Spatial–temporal regularized tensor decomposition method for traffic speed data imputation. International Journal of Data Science and Analytics.
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Wenqi Lu, Tian Zhou, Linheng Li, Yuanli Gu, Yikang Rui & Bin Ran. (2021) An improved tucker decomposition‐based imputation method for recovering lane‐level missing values in traffic data. IET Intelligent Transport Systems 16:3, pages 363-379.
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Junzhuo Li, Wenyong Li & Bin Guo. 2022. Green Connected Automated Transportation and Safety. Green Connected Automated Transportation and Safety 397 409 .
Liangliang Zhang, Yuanhua Jia, Dongye Sun & Yang Yang. (2021) A fuzzy weighted c-means classification method for traffic flow state division. Modern Physics Letters B 35:20, pages 2150341.
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Yi Lin, Qin Li, Dongyue Guo, Jianwei Zhang & Chensi Zhang. (2021) Tensor completion-based trajectory imputation approach in air traffic control. Aerospace Science and Technology 114, pages 106754.
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Shafiza Ariffin Kashinath, Salama A. Mostafa, Aida Mustapha, Hairulnizam Mahdin, David Lim, Moamin A. Mahmoud, Mazin Abed Mohammed, Bander Ali Saleh Al-Rimy, Mohd Farhan Md Fudzee & Tan Jhon Yang. (2021) Review of Data Fusion Methods for Real-Time and Multi-Sensor Traffic Flow Analysis. IEEE Access 9, pages 51258-51276.
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Huiping Li, Meng Li, Xi Lin, Fang He & Yinhai Wang. (2020) A spatiotemporal approach for traffic data imputation with complicated missing patterns. Transportation Research Part C: Emerging Technologies 119, pages 102730.
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Linchao Li, Bowen Du, Yonggang Wang, Lingqiao Qin & Huachun Tan. (2020) Estimation of missing values in heterogeneous traffic data: Application of multimodal deep learning model. Knowledge-Based Systems 194, pages 105592.
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Di Bao. (2019) A Multi-Index Fusion Clustering Strategy for Traffic Flow State Identification. IEEE Access 7, pages 166404-166409.
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Dominik Petrich, Darius Azarfar, Florian Kuhnt & J. Marius Zollner. (2018) The Fingerprint of a Traffic Situation: A Semantic Relationship Tensor for Situation Description and Awareness. The Fingerprint of a Traffic Situation: A Semantic Relationship Tensor for Situation Description and Awareness.
Linchao Li, Jian Zhang, Fan Yang & Bin Ran. (2018) Robust and flexible strategy for missing data imputation in intelligent transportation system. IET Intelligent Transport Systems 12:2, pages 151-157.
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Pastor Giancarlo. (2018) A Low-rank Tensor Model for Imputation of Missing Vehicular Traffic Volume. IEEE Transactions on Vehicular Technology, pages 1-1.
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Hamid Eslami Nosratabadi, Hadi Fanaee-T & Joao Gama. 2017. Progress in Artificial Intelligence. Progress in Artificial Intelligence 321 330 .
Li Li, Xiaonan Su, Yi Zhang, Yuetong Lin & Zhiheng Li. (2015) Trend Modeling for Traffic Time Series Analysis: An Integrated Study. IEEE Transactions on Intelligent Transportation Systems 16:6, pages 3430-3439.
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Ya-Nan Zhao, Kai-Wen Meng & Li Gao. (2015) The Entropy-Cost Function Evaluation Method for Unmanned Ground Vehicles. Mathematical Problems in Engineering 2015, pages 1-6.
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