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Research Articles

A multi-view bidirectional spatiotemporal graph network for urban traffic flow imputation

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Pages 1231-1257 | Received 07 Oct 2021, Accepted 17 Jan 2022, Published online: 28 Feb 2022

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Read on this site (4)

Min Deng, Kaiqi Chen, Kaiyuan Lei, Yuanfang Chen & Yan Shi. (2023) MVCV-Traffic: multiview road traffic state estimation via cross-view learning. International Journal of Geographical Information Science 37:10, pages 2205-2237.
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Tianhong Zhao, Zhengdong Huang, Wei Tu, Filip Biljecki & Long Chen. (2023) Developing a multiview spatiotemporal model based on deep graph neural networks to predict the travel demand by bus. International Journal of Geographical Information Science 37:7, pages 1555-1581.
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Peixiao Wang, Yan Zhang, Tao Hu & Tong Zhang. (2023) Urban traffic flow prediction: a dynamic temporal graph network considering missing values. International Journal of Geographical Information Science 37:4, pages 885-912.
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Aafaq Mohi ud din & Shaima Qureshi. (2023) A review of challenges and solutions in the design and implementation of deep graph neural networks. International Journal of Computers and Applications 45:3, pages 221-230.
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Articles from other publishers (12)

Xiaohui Huang, Yuming Ye, Xiaofei Yang & Liyan Xiong. (2023) Multi-view dynamic graph convolution neural network for traffic flow prediction. Expert Systems with Applications 222, pages 119779.
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Yan Zhang, Pengyuan Liu & Filip Biljecki. (2023) Knowledge and topology: A two layer spatially dependent graph neural networks to identify urban functions with time-series street view image. ISPRS Journal of Photogrammetry and Remote Sensing 198, pages 153-168.
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Tianhe Lan, Xiaojing Zhang, Dayi Qu, Yufeng Yang & Yicheng Chen. (2023) Short-Term Traffic Flow Prediction Based on the Optimization Study of Initial Weights of the Attention Mechanism. Sustainability 15:2, pages 1374.
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Li Cai, Cong Sha, Jing He & Shaowen Yao. (2023) Spatial–Temporal Data Imputation Model of Traffic Passenger Flow Based on Grid Division. ISPRS International Journal of Geo-Information 12:1, pages 13.
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Robin Kuok Cheong Chan, Joanne Mun-Yee Lim & Rajendran Parthiban. (2023) Missing Traffic Data Imputation for Artificial Intelligence in Intelligent Transportation Systems: Review of Methods, Limitations, and Challenges. IEEE Access 11, pages 34080-34093.
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Ling Wu, Qiong Peng, Michael Lemke, Tao Hu & Xi Gong. (2022) Spatial social network research: a bibliometric analysis. Computational Urban Science 2:1.
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Ruizhe Shi & Lijing Du. (2022) Multi-Section Traffic Flow Prediction Based on MLR-LSTM Neural Network. Sensors 22:19, pages 7517.
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Jiani Ouyang, Hong Fan, Luyao Wang, Dongyu Zhu & Mei Yang. (2022) Revealing urban vibrancy stability based on human activity time-series. Sustainable Cities and Society 85, pages 104053.
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Jingbo Wang, Yu Xia & Yuting Wu. (2022) Sensing Tourist Distributions and Their Sentiment Variations Using Social Media: Evidence from 5A Scenic Areas in China. ISPRS International Journal of Geo-Information 11:9, pages 492.
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Peixiao Wang, Tao Hu, Fei Gao, Ruijie Wu, Wei Guo & Xinyan Zhu. (2022) A Hybrid Data-Driven Framework for Spatiotemporal Traffic Flow Data Imputation. IEEE Internet of Things Journal 9:17, pages 16343-16352.
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Yan Zhang, Fan Zhang & Nengcheng Chen. (2022) Migratable urban street scene sensing method based on vision language pre-trained model. International Journal of Applied Earth Observation and Geoinformation 113, pages 102989.
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Peixiao Wang, Tong Zhang & Tao Hu. (2022) Traffic condition estimation and data quality assessment for signalized road networks using massive vehicle trajectories. Journal of Ambient Intelligence and Humanized Computing.
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