Twice clustering based hybrid model for short-term passenger flow forecasting

Short-term metro passenger flow prediction plays a great role in traffic planning and management, and it is an important prerequisite for achieving intelligent transportation. So, a novel hybrid Support Vector Regression (SVR) model based on Twice Clustering (TC) is proposed for short-term metro pa...

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Bibliographic Details

Published in:	Transport
Main Authors:	Sheng Wang, Xinfeng Yang
Format:	Article
Language:	English
Published:	Vilnius Gediminas Technical University 2024-11-01
Subjects:	short-term passenger flow forecasting twice clustering support vector regression grey wolf optimization complete ensemble empirical mode decomposition adaptive noise
Online Access:	https://jau.vgtu.lt/index.php/Transport/article/view/20538