Smart Organization of Imbalanced Traffic Datasets for Long-Term Traffic Forecasting

Predicting traffic speed is an important issue, especially in urban regions. Precise long-term forecasts would enable individuals to conserve time and financial resources while diminishing air pollution. Despite extensive research on this subject, to our knowledge, no publications investigate or tac...

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Bibliographic Details
Published in:	Sensors
Main Authors:	Mustafa M. Kara, H. Irem Turkmen, M. Amac Guvensan
Format:	Article
Language:	English
Published:	MDPI AG 2025-02-01
Subjects:	long-term traffic speed prediction intelligent transportation systems deep learning data preprocessing imbalanced datasets data grouping
Online Access:	https://www.mdpi.com/1424-8220/25/4/1225

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