Taxi-demand forecasting using dynamic spatiotemporal analysis

Taxi-demand forecasting using dynamic spatiotemporal analysis

Taxi-demand forecasting and hotspot prediction can be critical in reducing response times and designing a cost effective online taxi-booking model. Taxi demand in a region can be predicted by considering the past demand accumulated in that region over a span of time. However, other covariates—like n...

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Bibliographic Details
Main Authors:	Akshata Gangrade, Pawel Pratyush, Gaurav Hajela
Format:	Article
Language:	English
Published:	Electronics and Telecommunications Research Institute (ETRI) 2022-08-01
Series:	ETRI Journal
Subjects:	combined covariates model ensemble regression models linear regression spatiotemporal analysis taxi demand forecasting
Online Access:	https://doi.org/10.4218/etrij.2021-0123

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