Assessment of Polish railway infrastructure and the use of artificial intelligence methods for prediction of its further development

Bogna Mrówczyńska; Maria Cieśla; Aleksander Król

doi:10.1007/978-3-319-51502-1_9

Assessment of Polish railway infrastructure and the use of artificial intelligence methods for prediction of its further development

Bogna Mrówczyńska
, Maria Cieśla
, Aleksander Król

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

The aim of this chapter is to analyze economic trends in rail freight volume in Poland, based on the analysis of data from the years 2009–2013, for evaluating decisions on planned investments in railway infrastructure envisioned by Poland and the EU at the time the EU was founded. The theoretical analysis presents a trend of functional Polish railways and its impact on investment decisions. In addition, it shows the long-term plans for railway transport in Poland from both the Polish government and the EU perspectives. An analysis of the current investment to support the development of railways in Poland is also elaborated. The research part of the chapter presents an analysis of statistical data on rail freight. Forecasts are precisely presented of selected transport parameters made by the Bayesian network method and Holt-Winters double exponential smoothing using an artificial immune system to determine parameters and initial conditions.

Original language	English
Title of host publication	Studies in Systems, Decision and Control
Publisher	Springer International Publishing
Pages	361-403
Number of pages	43
DOIs	https://doi.org/10.1007/978-3-319-51502-1_9
Publication status	Published - 2017

Publication series

Name	Studies in Systems, Decision and Control
Volume	87
ISSN (Print)	2198-4182
ISSN (Electronic)	2198-4190

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Artificial immune system
Bayesian networks
Clonal selection
Holt-Winters double exponential smoothing
Methods of exponential smoothing
Railway transport
Statistical forecasting

ASJC Scopus subject areas

Computer Science (miscellaneous)
Control and Systems Engineering
Automotive Engineering
Social Sciences (miscellaneous)
Economics, Econometrics and Finance (miscellaneous)
Control and Optimization
Decision Sciences (miscellaneous)

Access to Document

10.1007/978-3-319-51502-1_9

Cite this

Mrówczyńska, B., Cieśla, M., & Król, A. (2017). Assessment of Polish railway infrastructure and the use of artificial intelligence methods for prediction of its further development. In Studies in Systems, Decision and Control (pp. 361-403). (Studies in Systems, Decision and Control; Vol. 87). Springer International Publishing. https://doi.org/10.1007/978-3-319-51502-1_9

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abstract = "The aim of this chapter is to analyze economic trends in rail freight volume in Poland, based on the analysis of data from the years 2009{\textendash}2013, for evaluating decisions on planned investments in railway infrastructure envisioned by Poland and the EU at the time the EU was founded. The theoretical analysis presents a trend of functional Polish railways and its impact on investment decisions. In addition, it shows the long-term plans for railway transport in Poland from both the Polish government and the EU perspectives. An analysis of the current investment to support the development of railways in Poland is also elaborated. The research part of the chapter presents an analysis of statistical data on rail freight. Forecasts are precisely presented of selected transport parameters made by the Bayesian network method and Holt-Winters double exponential smoothing using an artificial immune system to determine parameters and initial conditions.",

keywords = "Artificial immune system, Bayesian networks, Clonal selection, Holt-Winters double exponential smoothing, Methods of exponential smoothing, Railway transport, Statistical forecasting",

author = "Bogna Mr{\'o}wczy{\'n}ska and Maria Cie{\'s}la and Aleksander Kr{\'o}l",

note = "Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG.",

year = "2017",

doi = "10.1007/978-3-319-51502-1\_9",

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series = "Studies in Systems, Decision and Control",

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Assessment of Polish railway infrastructure and the use of artificial intelligence methods for prediction of its further development. / Mrówczyńska, Bogna; Cieśla, Maria ; Król, Aleksander.
Studies in Systems, Decision and Control. Springer International Publishing, 2017. p. 361-403 (Studies in Systems, Decision and Control; Vol. 87).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Assessment of Polish railway infrastructure and the use of artificial intelligence methods for prediction of its further development

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AU - Cieśla, Maria

AU - Król, Aleksander

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AB - The aim of this chapter is to analyze economic trends in rail freight volume in Poland, based on the analysis of data from the years 2009–2013, for evaluating decisions on planned investments in railway infrastructure envisioned by Poland and the EU at the time the EU was founded. The theoretical analysis presents a trend of functional Polish railways and its impact on investment decisions. In addition, it shows the long-term plans for railway transport in Poland from both the Polish government and the EU perspectives. An analysis of the current investment to support the development of railways in Poland is also elaborated. The research part of the chapter presents an analysis of statistical data on rail freight. Forecasts are precisely presented of selected transport parameters made by the Bayesian network method and Holt-Winters double exponential smoothing using an artificial immune system to determine parameters and initial conditions.

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KW - Bayesian networks

KW - Clonal selection

KW - Holt-Winters double exponential smoothing

KW - Methods of exponential smoothing

KW - Railway transport

KW - Statistical forecasting

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DO - 10.1007/978-3-319-51502-1_9

M3 - Chapter

AN - SCOPUS:85028974701

T3 - Studies in Systems, Decision and Control

SP - 361

EP - 403

BT - Studies in Systems, Decision and Control

PB - Springer International Publishing

ER -

Assessment of Polish railway infrastructure and the use of artificial intelligence methods for prediction of its further development

Abstract

Publication series

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this