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Multicriteria Decision Support in Designing Transport Systems

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Tools of Transport Telematics (TST 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 531))

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Abstract

Paper presents selected aspects of multicriteria decision making in transport. One of the significant problems of modern transport systems is proper assessment of selection of transport system equipment to performed tasks. This assessment is difficult due to the complexity of issues. On the one hand it results from technical limitations, financial and ecological constraints, and public interest, but on the other hand various points of view of individual participants of transportation process trying to maximize their individual advantage must be taken into account. As a result the examination and evaluation of transport systems requires multi-criteria decision-making models. These models allow taking into account a number of contradictory points of view and lead to the identification of a “best compromise”. Assessment of transport organization alternatives was performed by Super Choose application. The application implements ranking method and MAJA method to support decision-making.

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Authors and Affiliations

  1. Faculty of Transport, Department of Logistics and Transport Systems, Warsaw University of Technology, Koszykowa 75, 00-662, Warsaw, Poland

    Marianna Jacyna & Mariusz Wasiak

Authors
  1. Marianna Jacyna
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  2. Mariusz Wasiak
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Corresponding author

Correspondence to Marianna Jacyna .

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Editors and Affiliations

  1. Polish Association of Transport Telem., Katowice, Poland

    Jerzy Mikulski

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Jacyna, M., Wasiak, M. (2015). Multicriteria Decision Support in Designing Transport Systems. In: Mikulski, J. (eds) Tools of Transport Telematics. TST 2015. Communications in Computer and Information Science, vol 531. Springer, Cham. https://doi.org/10.1007/978-3-319-24577-5_2

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  • DOI: https://doi.org/10.1007/978-3-319-24577-5_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24576-8

  • Online ISBN: 978-3-319-24577-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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