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Dest-ResNet: A Deep Spatiotemporal Residual Network for Hotspot Traffic Speed Prediction
Jingqing Zhang, Yike Gao
Imperial College London
Research output
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Article
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peer-review
12
Scopus citations
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Dive into the research topics of 'Dest-ResNet: A Deep Spatiotemporal Residual Network for Hotspot Traffic Speed Prediction'. Together they form a unique fingerprint.
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Keyphrases
Traffic Speed Prediction
100%
Hotspot Traffic
100%
Spatiotemporal
100%
Residual Network
100%
Traffic Jam
28%
Traffic Speed
28%
Sequence Learning
14%
Traffic Congestion
14%
Baidu
14%
Learning Framework
14%
Traffic Environment
14%
Main Idea
14%
Dynamic Complexity
14%
Worldmaking
14%
Spatiotemporal Variation
14%
State-of-the-art Techniques
14%
Spatiotemporal Characteristics
14%
Urban City
14%
Intrinsic Complexity
14%
Urbanization Process
14%
Causal Correlation
14%
Metropolis
14%
Query Data
14%
Computer Science
Residual Neural Network
100%
Learning Framework
14%
Traffic Environment
14%
Network Address
14%