DeepSTF: A Deep Spatial–Temporal Forecast Model of Taxi Flow

• Published in: Computer journal Vol. 66; no. 3; pp. 565 - 580
• Main Authors: Lv, Zhiqiang, Li, Jianbo, Dong, Chuanhao, Xu, Zhihao
• Format: Journal Article
• Language: English
• Published: Oxford University Press 15.03.2023
• Subjects: urban grids; dilation convolution; taxi flow forecast; spatial–temporal model; causal convolution

Abstract Taxi flow forecast is significant for planning transportation and allocating basic transportation resources. The flow forecast in the urban adjacent area is different from the fixed-point flow forecast. Their data are more complex and diverse, which make them more challenging to forecast. T...