Spatial-Temporal Diffusion Convolutional Network: A Novel Framework for Taxi Demand Forecasting

Taxi demand forecasting plays an important role in ride-hailing services. Accurate taxi demand forecasting can assist taxi companies in pre-allocating taxis, improving vehicle utilization, reducing waiting time, and alleviating traffic congestion. It is a challenging task due to the highly non-linea...

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Autori principali:	Aling Luo, Boyi Shangguan, Can Yang, Fan Gao, Zhe Fang, Dayu Yu
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2022-03-01
Serie:	ISPRS International Journal of Geo-Information
Soggetti:	demand forecasting spatial-temporal dependencies graph neural networks attention mechanism
Accesso online:	https://www.mdpi.com/2220-9964/11/3/193
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