Predicting Taxi and Uber Demand in Cities: Approaching the Limit of Predictability

Time series prediction has wide applications ranging from stock price prediction, product demand estimation to economic forecasting. In this article, we treat the taxi and Uber demand in each location as a time series, and reduce the taxi and Uber demand prediction problem to a time series predictio...

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Bibliographic Details
Published in:	IEEE transactions on knowledge and data engineering Vol. 33; no. 6; pp. 2723 - 2736
Main Authors:	Zhao, Kai, Khryashchev, Denis, Vo, Huy
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.06.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Accuracy Algorithms Autoregressive models Clutter data mining Deep learning Detectors Economic forecasting Feature extraction Machine learning Measurement Object recognition predictability of time-series predictive algorithm Questions Regularity Shape Sharing economy Taxicabs Three-dimensional displays Time measurement Time series Training Upper bounds
ISSN:	1041-4347, 1558-2191
Online Access:	Get full text
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