Contextualized Spatial-Temporal Network for Taxi Origin-Destination Demand Prediction

15 May 2019 Lingbo Liu Zhilin Qiu Guanbin Li Qing Wang Wanli Ouyang Liang Lin

Taxi demand prediction has recently attracted increasing research interest due to its huge potential application in large-scale intelligent transportation systems. However, most of the previous methods only considered the taxi demand prediction in origin regions, but neglected the modeling of the specific situation of the destination passengers... (read more)

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Memory Network
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Convolution
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