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Soft Computing
Erschienen 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

verfasst von: Onur Dogan, Muhammet Deveci, Fatih Canıtez, Cengiz Kahraman

Erschienen in: Soft Computing | Ausgabe 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.
Vorheriger Artikel Variable neighborhood search-based methods for integrated hybrid flow shop scheduling with distribution
Nächster Artikel Clustering data stream with uncertainty using belief function theory and fading function

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Metadaten
Titel
A corridor selection for locating autonomous vehicles using an interval-valued intuitionistic fuzzy AHP and TOPSIS method
verfasst von
Onur Dogan
Muhammet Deveci
Fatih Canıtez
Cengiz Kahraman
Publikationsdatum
19.10.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 12/2020
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-019-04421-5

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