JOURNAL ARTICLE

Predicting citywide crowd flows using deep spatio-temporal residual networks

Junbo ZhangYu ZhengDekang QiRuiyuan LiXiuwen YiTianrui Li

Year: 2018 Journal:   Artificial Intelligence Vol: 259 Pages: 147-166   Publisher: Elsevier BV
Keywords:
Crowds Computer science Closeness Residual Convolutional neural network Aggregate (composite) Beijing Deep learning Data mining Artificial intelligence Geography Computer security China

Metrics

499
Cited By
42.74
FWCI (Field Weighted Citation Impact)
90
Refs
1.00
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Traffic Prediction and Management Techniques
Physical Sciences →  Engineering →  Building and Construction
Human Mobility and Location-Based Analysis
Social Sciences →  Social Sciences →  Transportation
Anomaly Detection Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence

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