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A corridor selection for locating autonomous vehicles using an interval-valued intuitionistic fuzzy AHP and TOPSIS method

  • Onur Dogan*
  • , Muhammet Deveci
  • , Fatih Canıtez
  • , Cengiz Kahraman
  • *Corresponding author for this work
  • Izmir Bakircay University
  • Turkish National Defence University
  • University of Nottingham
  • Istanbul Technical University

Research output: Contribution to journalArticlepeer-review

95 Citations (Scopus)

Abstract

Autonomous vehicles (AVs) provide a new mobility option and have been becoming widespread around the world. They can be used not only as automobiles but also as public transport vehicles in the form of shuttles, buses and pods. One of the problem areas in implementing AVs as a public transport vehicle is to choose a suitable road for operating them. A fuzzy decision model combining analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) techniques with intuitionistic fuzzy sets is used to solve this problem.The results show that the BRT corridor is the most suitable option for operating AVs according to the decision criteria. Furthermore, operating AVs on a BRT corridor provides an unprecedented service provision approach.

Original languageEnglish
Pages (from-to)8937-8953
Number of pages17
JournalSoft Computing
Volume24
Issue number12
DOIs
Publication statusPublished - 1 Jun 2020

Bibliographical note

Publisher Copyright:
© 2019, Springer-Verlag GmbH Germany, part of Springer Nature.

UN SDGs

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

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • AHP
  • Autonomous vehicles
  • Corridor selection
  • Interval-valued intuitionistic fuzzy sets
  • Multi-criteria decision-making
  • TOPSIS

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