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

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Rozdział › recenzja

Abstrakt

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.

Język oryginału	angielski
Tytuł publikacji goszczącej	Studies in Systems, Decision and Control
Wydawca	Springer International Publishing
Strony	361-403
Liczba stron	43
Identyfikatory DOI	https://doi.org/10.1007/978-3-319-51502-1_9
Status publikacji	Opublikowano - 2017

Seria publikacji

Nazwa	Studies in Systems, Decision and Control
Tom	87
ISSN (drukowany)	2198-4182
ISSN (elektroniczny)	2198-4190

Cele SDG ONZ

Ten wynik przyczynia się do realizacji następujących celów zrównoważonego rozwoju

Cel 9 Przemysł, innowacje i infrastruktura

Obszary tematyczne ASJC Scopus

Informatyka (różne)
Inżynieria sterowania i systemów
Inżynieria motoryzacyjna
Nauki społeczne (różne)
Ekonomia, ekonometria i finanse (różne)
Sterowanie i optymalizacja
Nauki o podejmowaniu decyzji (różne)

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

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Cytowanie

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. W Studies in Systems, Decision and Control (str. 361-403). (Studies in Systems, Decision and Control; Tom 87). Springer International Publishing. https://doi.org/10.1007/978-3-319-51502-1_9

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

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",

language = "English",

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

publisher = "Springer International Publishing",

pages = "361--403",

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address = "Switzerland",

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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. str. 361-403 (Studies in Systems, Decision and Control; Tom 87).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Rozdział › recenzja

TY - CHAP

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

AU - Mrówczyńska, Bogna

AU - Cieśla, Maria

AU - Król, Aleksander

PY - 2017

Y1 - 2017

N2 - 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.

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.

KW - Artificial immune system

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

Abstrakt

Seria publikacji

Cele SDG ONZ

Obszary tematyczne ASJC Scopus

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