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Assessment of Polish Railway Infrastructure and the Use of Artificial Intelligence Methods for Prediction of Its Further Development

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Rail Transport—Systems Approach

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 87))

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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 2009–2013, 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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Author information

Authors and Affiliations

  1. Department of Logistics and Industrial Transport, Faculty of Transport, Silesian University of Technology, Krasinskiego 8, 40-019, Katowice, Poland

    Bogna Mrówczyńska & Maria Cieśla

  2. Department of Transport Systems and Traffic Engineering, Faculty of Transport, Silesian University of Technology, Krasinskiego 8, 40-019, Katowice, Poland

    Aleksander Król

Authors
  1. Bogna Mrówczyńska
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  2. Maria Cieśla
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  3. Aleksander Król
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Corresponding author

Correspondence to Bogna Mrówczyńska .

Editor information

Editors and Affiliations

  1. Department of Logistics and Industrial Transportation, Silesian University of Technology, Katowice, Poland

    Aleksander Sładkowski

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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: Sładkowski, A. (eds) Rail Transport—Systems Approach. Studies in Systems, Decision and Control, vol 87. Springer, Cham. https://doi.org/10.1007/978-3-319-51502-1_9

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  • DOI: https://doi.org/10.1007/978-3-319-51502-1_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51501-4

  • Online ISBN: 978-3-319-51502-1

  • eBook Packages: EngineeringEngineering (R0)

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