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

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 vehic...

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Veröffentlicht in:Soft computing (Berlin, Germany) Germany), 2020-06, Vol.24 (12), p.8937-8953
Hauptverfasser: Dogan, Onur, Deveci, Muhammet, Canıtez, Fatih, Kahraman, Cengiz
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container_issue 12
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container_title Soft computing (Berlin, Germany)
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creator Dogan, Onur
Deveci, Muhammet
Canıtez, Fatih
Kahraman, Cengiz
description 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.
doi_str_mv 10.1007/s00500-019-04421-5
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subjects Analytic hierarchy process
Artificial Intelligence
Automation
Automobiles
Autonomous vehicles
Buses (vehicles)
Case studies
Computational Intelligence
Control
Decision analysis
Energy consumption
Engineering
Fuzzy sets
Hierarchies
Local government
Mathematical Logic and Foundations
Mechatronics
Methodologies and Application
Multiple criteria decision making
Preferences
Public transportation
Robotics
Transport vehicles
title A corridor selection for locating autonomous vehicles using an interval-valued intuitionistic fuzzy AHP and TOPSIS method
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