Robust and Responsive Learning of Spatiotemporal Urban Traffic Flow Relationships
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DOI: 10.1109/tits.2021.3130146
Abstract: Spatiotemporal models that incorporate information about the relationships between traffic flows over space and time have recently become the mainstream of urban traffic forecasting. Many algorithms have been developed to learn the structure of spatiotemporal… read more here.
Keywords: spatiotemporal relationships; urban traffic; traffic; learning spatiotemporal ... See more keywords