Spatiotemporal Characteristics and Self-Organization of Urban Taxi Dispatch
This paper proposes a matching degree to study dynamic spatiotemporal characteristics of urban taxi and offers a novel understanding of self-organization taxi dispatch in hotspots on top of the Fermi learning model.The proposed matching degree can Laboratory not only reflect the overall spatiotemporal characteristics of urban taxi supply and demand