Multi-attention 3D Residual Neural Network for Origin-Destination Crowd Flow Prediction

Ma, Jiaman; Chan, Jeffrey; Rajasegarar, Sutharshan; Ristanoski, Goce; Leckie, Christopher

doi:10.1109/icdm50108.2020.00142

2020 IEEE International Conference on Data Mining (ICDM) 2020

DOI: 10.1109/icdm50108.2020.00142

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Multi-attention 3D Residual Neural Network for Origin-Destination Crowd Flow Prediction

Jiaman Ma

Jeffrey Chan

Sutharshan Rajasegarar

et al.

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Completion and augmentation-based spatiotemporal deep learning approach for short-term metro origin-destination matrix prediction under limited observable data

Zhao²,

Zheng³

et al. 2022

Neural Comput & Applic

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Multi-attention 3D Residual Neural Network for Origin-Destination Crowd Flow Prediction

Cited by 3 publications

References 9 publications

Completion and augmentation-based spatiotemporal deep learning approach for short-term metro origin-destination matrix prediction under limited observable data

Completion and augmentation-based spatiotemporal deep learning approach for short-term metro origin-destination matrix prediction under limited observable data

Edge Technologies for Disaster Management: A Survey of Social Media and Artificial Intelligence Integration

Metro OD Matrix Prediction Based on Multi-View Passenger Flow Evolution Trend Modeling

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