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Traffic prediction is a fundamental task in many real applications, which aims to predict the future traffic volume in any region of a city.
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Short-term traffic flow forecasting: An experimental comparison of time-series analysis and supervised learning
Marco Lippi, Matteo Bertini, and Paolo Frasconi · 2013
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Predicting taxi-passenger demand using streaming data
Luís Moreira-Matias, João Gama, Michel Ferreira, João Mendes-Moreira, and Luís Damas · 2013
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Joan Bruna, Wojciech Zaremba, Arthur Szlam, and Yann Lecun · 2014
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Time series analysis: forecasting and control
George EP Box, Gwilym M Jenkins, Gregory C Reinsel, and Greta M Ljung · 2015
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Traffic prediction in a bike-sharing system
Yexin Li, Yu Zheng, Huichu Zhang, and Lei Chen · 2015
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Tensorflow: Large-scale machine learning on heterogeneous distributed systems
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, et al · 2016
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Michaël Defferrard, Xavier Bresson, and Pierre Vandergheynst · 2016
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Mathias Niepert, Mohamed Ahmed, and Konstantin Kutzkov · 2016
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The simpler the better: A unified approach to predicting original taxi demands based on large-scale online platforms
Yongxin Tong, Yuqiang Chen, Zimu Zhou, Lei Chen, Jie Wang, Qiang Yang, Jieping Ye, and Weifeng Lv · 2017
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Deep spatio-temporal residual networks for citywide crowd flows prediction
Junbo Zhang, Yu Zheng, and Dekang Qi · 2017
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Diffusion convolutional recurrent neural network: Data-driven traffic forecasting
Yaguang Li, Rose Yu, Cyrus Shahabi, and Yan Liu · 2018
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Deep multi-view spatial-temporal network for taxi demand prediction
Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, and Zhenhui Li · 2018
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Spatio-temporal graph convolutional networks: A deep learning framework for traffic forecasting
Bing Yu, Haoteng Yin, and Zhanxing Zhu · 2018
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Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, and Yichen Wei · 2017
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Semi-supervised classification with graph convolutional networks
Thomas N. Kipf and Max Welling · 2017
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Revisiting spatial-temporal similarity: A deep learning framework for traffic prediction
Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, and Zhenhui Li · 2019
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