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International Journal of Geographical Information Science Volume 34, 2020 - Issue 5
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Research Articles

A novel residual graph convolution deep learning model for short-term network-based traffic forecasting

Yang Zhanga SpaceTimeLab for Big Data Analytics, Department of Civil, Environmental and Geomatic Engineering, University College London, London, UK;b College of Systems Engineering, National University of Defense Technology, Changsha, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-1524-385XView further author information
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Tao Chenga SpaceTimeLab for Big Data Analytics, Department of Civil, Environmental and Geomatic Engineering, University College London, London, UKORCID Iconhttps://orcid.org/0000-0002-5503-9813View further author information
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Yibin Renc CAS Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences and Centre for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, ChinaORCID Iconhttps://orcid.org/0000-0002-7327-7575View further author information
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Kun Xied Department of Civil & Environmental Engineering, Old Dominion University, Norfolk, VA, USAORCID Iconhttps://orcid.org/0000-0002-8191-2786View further author information
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Pages 969-995 | Received 19 Oct 2018, Accepted 23 Nov 2019, Published online: 02 Dec 2019

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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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Bi Yu Chen, Yaohong Ma, Jiale Wang, Tao Jia, Xianglong Liu & William H. K. Lam. (2023) Graph convolutional networks with learnable spatial weightings for traffic forecasting applications. Transportmetrica A: Transport Science 0:0, pages 1-30.
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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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Zhihong Li, Han Xu, Xiuli Gao, Zinan Wang & Wangtu Xu. (2022) Fusion attention mechanism bidirectional LSTM for short-term traffic flow prediction. Journal of Intelligent Transportation Systems 0:0, pages 1-14.
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Peixiao Wang, Tong Zhang, Yueming Zheng & Tao Hu. (2022) A multi-view bidirectional spatiotemporal graph network for urban traffic flow imputation. International Journal of Geographical Information Science 36:6, pages 1231-1257.
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Mingxiao Li, Song Gao, Feng Lu, Kang Liu, Hengcai Zhang & Wei Tu. (2021) Prediction of human activity intensity using the interactions in physical and social spaces through graph convolutional networks. International Journal of Geographical Information Science 35:12, pages 2489-2516.
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Wenjing Mao, Limin Jiao, Weilin Wang, Jianlong Wang, Xueli Tong & Suli Zhao. (2021) A hybrid integrated deep learning model for predicting various air pollutants. GIScience & Remote Sensing 58:8, pages 1395-1412.
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Xiongfeng Yan, Tinghua Ai, Min Yang & Xiaohua Tong. (2021) Graph convolutional autoencoder model for the shape coding and cognition of buildings in maps. International Journal of Geographical Information Science 35:3, pages 490-512.
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