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The Redesign Methodology of a Transportation Network

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Decision Support Methods in Modern Transportation Systems and Networks

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 208))

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Abstract

This chapter presents the methodology of the transportation network improvement based on two phases, i.e. traffic engineering and stochastic multiple criteria decision aiding (MCDA) approach. The first one helps to analyze the current state of the transportation network, as well as its redesign scenarios. This phase is composed of four steps, including: (1) the transportation network analysis, (2) macroscopic simulation, (3) traffic signal control and (4) microscopic simulation. During the second phase of the methodology the redesign scenarios are evaluated and ranked from the best to the worst. Their nature is complex and the parameters are non-deterministic, thus the following steps are proposed: (1) multicriteria evaluation of the redesign scenarios, (2) selection of the MCDA method, (3) computational experiments including the classification of final rankings of variants and stochastic ranking construction, and (4) assessment of the final solution. The methodology is verified on the selected part of the transportation network.

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Authors and Affiliations

  1. Poznan University of Technology, Institute of Transport, Poznan, Poland

    Remigiusz Wiedemann & Hanna Sawicka

Authors
  1. Remigiusz Wiedemann
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  2. Hanna Sawicka
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Correspondence to Hanna Sawicka .

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Editors and Affiliations

  1. Faculty of Transport and Aviation Engineering, Silesian University of Technology, Gliwice, Poland

    Grzegorz Sierpiński

  2. Faculty of Transport and Aviation Engineering, Silesian University of Technology, Gliwice, Poland

    Elżbieta Macioszek

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Wiedemann, R., Sawicka, H. (2021). The Redesign Methodology of a Transportation Network. In: Sierpiński, G., Macioszek, E. (eds) Decision Support Methods in Modern Transportation Systems and Networks. Lecture Notes in Networks and Systems, vol 208. Springer, Cham. https://doi.org/10.1007/978-3-030-71771-1_1

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