SARIMA modelling approach for railway passenger flow forecasting-Reference-Cited by-同舟云学术

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SARIMA modelling approach for railway passenger flow forecasting

Published:2016-03-07 Issue: Volume: Page:1-8
ISSN:1648-4142
Container-title:Transport
language:en
Short-container-title:Transport

Author:

Milenković Miloš¹,Švadlenka Libor²,Melichar Vlastimil²,Bojović Nebojša¹,Avramović Zoran¹

Affiliation:

1. Division for Management in Railway, Rolling stock and Traction, The Faculty of Transport and Traffic Engineering, University of Belgrade, Serbia

2. Dept of Transport Management, Marketing and Logistics, Jan Perner Transport Faculty, University of Pardubice, Czech Republic

Publisher

Vilnius Gediminas Technical University

Subject

Mechanical Engineering,Automotive Engineering

Link

https://www.tandfonline.com/doi/pdf/10.3846/16484142.2016.1139623

Reference27 articles.

1. A multivariate neural forecasting modeling for air transport – Preprocessed by decomposition: A Brazilian application

2. Box, G. E. P.; Jenkins, G. M.; Reinsel, G. C. 2013. Time Series Analysis: Forecasting and Control. John Wiley & Sons, Inc. 755 p. http://dx.doi.org/10.1002/9781118619193

3. Traffic Prediction Using Multivariate Nonparametric Regression

4. Time Series Analysis

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