Enhancing Accuracy in Hourly Passenger Flow Forecasting for Urban Transit Using TBATS Boosting

Passenger flow forecasting is crucial for optimizing urban transit operations, especially in developing countries such as India, where congestion, infrastructure constraints, and diverse commuter behaviors pose significant challenges. Despite its importance, limited research explored forecasting mod...

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Bibliographic Details
Main Authors:	Madhuri Patel, Samir B. Patel, Debabrata Swain, Rishikesh Mallagundla
Format:	Article
Language:	English
Published:	MDPI AG 2025-04-01
Series:	Modelling
Subjects:	urban transit system passenger flow forecasting machine learning hybrid forecasting model time series forecasting
Online Access:	https://www.mdpi.com/2673-3951/6/2/32
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Enhancing Accuracy in Hourly Passenger Flow Forecasting for Urban Transit Using TBATS Boosting

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