A Distributed VMD-BiLSTM Model for Taxi Demand Forecasting with GPS Sensor Data

With the ubiquitous deployment of mobile and sensor technologies in modes of transportation, taxis have become a significant component of public transportation. However, vacant taxis represent an important waste of transportation resources. Forecasting taxi demand within a short time achieves a supp...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Hasan A. H. Naji, Qingji Xue, Tianfeng Li
Format:	Article
Language:	English
Published:	MDPI AG 2024-10-01
Subjects:	taxi demand forecasting GPS sensor data variational mode decomposition spark platform bidirectional long short-term memory
Online Access:	https://www.mdpi.com/1424-8220/24/20/6683