A Hybrid-Convolution Spatial–Temporal Recurrent Network For Traffic Flow Prediction
Accurate traffic flow prediction is valuable for satisfying citizens’ travel needs and alleviating urban traffic pressure. However, it is highly challenging due to the complexity of the urban geospatial structure and the highly nonlinear temporal and spatial dependence on human mobility. Most existi...
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Published in | Computer journal Vol. 67; no. 1; pp. 236 - 252 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Oxford University Press
17.01.2024
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Subjects | |
Online Access | Get full text |
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