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Soft Computing
Published in: Soft Computing 12/2020

19-10-2019 | Methodologies and Application

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

Authors: Onur Dogan, Muhammet Deveci, Fatih Canıtez, Cengiz Kahraman

Published in: Soft Computing | Issue 12/2020

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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.
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Metadata
Title
A corridor selection for locating autonomous vehicles using an interval-valued intuitionistic fuzzy AHP and TOPSIS method
Authors
Onur Dogan
Muhammet Deveci
Fatih Canıtez
Cengiz Kahraman
Publication date
19-10-2019
Publisher
Springer Berlin Heidelberg
Published in
Soft Computing / Issue 12/2020
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-019-04421-5

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