Perceiving spatiotemporal traffic anomalies from sparse representation-modeled city dynamics
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DOI: 10.1007/s00779-020-01474-4
Abstract: Early perception of anomaly traffic patterns, both spatially and temporally, is of importance for emergency response in the smart cities. To capture the spatiotemporal correlations among traffic flows for city dynamics modeling in correspondence with… read more here.
Keywords: traffic; spatiotemporal traffic; city; city dynamics ... See more keywords