Dynamic Origin-Destination Flow Prediction Using Spatial-Temporal Graph Convolution Network With Mobile Phone Data
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DOI: 10.1109/mits.2021.3082397
Abstract: Massive mobile phone data provide continuous and large-scale dynamic origin–destination (OD) flow information for multiple modes of transportation. In this study, we represent the dynamic OD flows obtained from mobile phone data as time-dependent graphs… read more here.
Keywords: mobile phone; phone data; dynamic origin; spatial temporal ... See more keywords