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Timely accurate traffic forecast is crucial for urban traffic control and guidance.
Analysis of freeway traffic time-series data by using Box-Jenkins techniques
Mohammed S Ahmed and Allen R Cook · 1979
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Freeway performance measurement system: mining loop detector data
Chao Chen, Karl Petty, Alexander Skabardonis, Pravin Varaiya, and Zhanfeng Jia · 2001
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Modeling and forecasting vehicular traffic flow as a seasonal arima process: Theoretical basis and empirical results
Billy M Williams and Lester A Hoel · 2003
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Wavelets on graphs via spectral graph theory
David K Hammond, Pierre Vandergheynst, and Rémi Gribonval · 2011
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Spectral networks and locally connected networks on graphs
Joan Bruna, Wojciech Zaremba, Arthur Szlam, and Yann LeCun · 2013
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The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains
David I Shuman, Sunil K Narang, Pascal Frossard, Antonio Ortega, and Pierre Vandergheynst · 2013
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Deep architecture for traffic flow prediction: deep belief networks with multitask learning
Wenhao Huang, Guojie Song, Haikun Hong, and Kunqing Xie · 2014
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le · 2014
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Yexin Li, Yu Zheng, Huichu Zhang, and Lei Chen · 2015
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Yisheng Lv, Yanjie Duan, Wenwen Kang, Zhengxi Li, and Fei-Yue Wang · 2015
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Convolutional lstm network: A machine learning approach for precipitation nowcasting
Xingjian Shi, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-Kin Wong, and Wang-chun Woo · 2015
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Computational intelligence and optimization for transportation big data: challenges and opportunities
Eleni I Vlahogianni · 2015
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Learning deep representation from big and heterogeneous data for traffic accident inference
Traffic speed prediction using deep learning method
Yuhan Jia, Jianping Wu, and Yiman Du · 2016
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Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling · 2016
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Learning convolutional neural networks for graphs
Mathias Niepert, Mohamed Ahmed, and Konstantin Kutzkov · 2016
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Structured sequence modeling with graph convolutional recurrent networks
Youngjoo Seo, Michaël Defferrard, Pierre Vandergheynst, and Xavier Bresson · 2016
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Yuankai Wu and Huachun Tan · 2016
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