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...
Gespeichert in:
Veröffentlicht in: | Soft computing (Berlin, Germany) Germany), 2020-06, Vol.24 (12), p.8937-8953 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 8953 |
---|---|
container_issue | 12 |
container_start_page | 8937 |
container_title | Soft computing (Berlin, Germany) |
container_volume | 24 |
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 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2917938572</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2917938572</sourcerecordid><originalsourceid>FETCH-LOGICAL-c367t-4f5d26433340ab25417079bfc2ad27a2cdc872e410a4122b40cc8d635ef9ca3</originalsourceid><addsrcrecordid>eNp9UE1rQjEQDKWF2o8_0FOg57T5NL6jSFsFQUHvISZ5Gnm-2CRP0F_fqIXeelh2h52ZXQaAF4LfCMbyPWEsMEaYVAhzTgkSN6BHOGNIclndXmaKZJ-ze_CQ0hZjSqRgPXAcQhNi9DZEmFzjTPahhXVBTTA6-3YNdZdDG3ahS_DgNt40LsEuXTYt9G128aAbVKpz9ow7f_bwKXsD6-50OsLheF64Fi5n88VkAXcub4J9Ane1bpJ7_u2PYPH5sRyN0XT2NRkNp8iwvsyI18LS8jdjHOsVFZxILKtVbai2VGpqrBlI6jjBmhNKVxwbM7B9JlxdGc0ewevVdR_Dd-dSVtvQxbYcVLQismIDIWlh0SvLxJBSdLXaR7_T8agIVueA1TVgVQJWl4CVKCJ2FaVCbtcu_ln_o_oBJAV_lA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2917938572</pqid></control><display><type>article</type><title>A corridor selection for locating autonomous vehicles using an interval-valued intuitionistic fuzzy AHP and TOPSIS method</title><source>SpringerLink Journals</source><source>ProQuest Central UK/Ireland</source><source>ProQuest Central</source><creator>Dogan, Onur ; Deveci, Muhammet ; Canıtez, Fatih ; Kahraman, Cengiz</creator><creatorcontrib>Dogan, Onur ; Deveci, Muhammet ; Canıtez, Fatih ; Kahraman, Cengiz</creatorcontrib><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.</description><identifier>ISSN: 1432-7643</identifier><identifier>EISSN: 1433-7479</identifier><identifier>DOI: 10.1007/s00500-019-04421-5</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>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</subject><ispartof>Soft computing (Berlin, Germany), 2020-06, Vol.24 (12), p.8937-8953</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2019</rights><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2019.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c367t-4f5d26433340ab25417079bfc2ad27a2cdc872e410a4122b40cc8d635ef9ca3</citedby><cites>FETCH-LOGICAL-c367t-4f5d26433340ab25417079bfc2ad27a2cdc872e410a4122b40cc8d635ef9ca3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00500-019-04421-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2917938572?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,777,781,21369,27905,27906,33725,41469,42538,43786,51300,64364,64368,72218</link.rule.ids></links><search><creatorcontrib>Dogan, Onur</creatorcontrib><creatorcontrib>Deveci, Muhammet</creatorcontrib><creatorcontrib>Canıtez, Fatih</creatorcontrib><creatorcontrib>Kahraman, Cengiz</creatorcontrib><title>A corridor selection for locating autonomous vehicles using an interval-valued intuitionistic fuzzy AHP and TOPSIS method</title><title>Soft computing (Berlin, Germany)</title><addtitle>Soft Comput</addtitle><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.</description><subject>Analytic hierarchy process</subject><subject>Artificial Intelligence</subject><subject>Automation</subject><subject>Automobiles</subject><subject>Autonomous vehicles</subject><subject>Buses (vehicles)</subject><subject>Case studies</subject><subject>Computational Intelligence</subject><subject>Control</subject><subject>Decision analysis</subject><subject>Energy consumption</subject><subject>Engineering</subject><subject>Fuzzy sets</subject><subject>Hierarchies</subject><subject>Local government</subject><subject>Mathematical Logic and Foundations</subject><subject>Mechatronics</subject><subject>Methodologies and Application</subject><subject>Multiple criteria decision making</subject><subject>Preferences</subject><subject>Public transportation</subject><subject>Robotics</subject><subject>Transport vehicles</subject><issn>1432-7643</issn><issn>1433-7479</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9UE1rQjEQDKWF2o8_0FOg57T5NL6jSFsFQUHvISZ5Gnm-2CRP0F_fqIXeelh2h52ZXQaAF4LfCMbyPWEsMEaYVAhzTgkSN6BHOGNIclndXmaKZJ-ze_CQ0hZjSqRgPXAcQhNi9DZEmFzjTPahhXVBTTA6-3YNdZdDG3ahS_DgNt40LsEuXTYt9G128aAbVKpz9ow7f_bwKXsD6-50OsLheF64Fi5n88VkAXcub4J9Ane1bpJ7_u2PYPH5sRyN0XT2NRkNp8iwvsyI18LS8jdjHOsVFZxILKtVbai2VGpqrBlI6jjBmhNKVxwbM7B9JlxdGc0ewevVdR_Dd-dSVtvQxbYcVLQismIDIWlh0SvLxJBSdLXaR7_T8agIVueA1TVgVQJWl4CVKCJ2FaVCbtcu_ln_o_oBJAV_lA</recordid><startdate>20200601</startdate><enddate>20200601</enddate><creator>Dogan, Onur</creator><creator>Deveci, Muhammet</creator><creator>Canıtez, Fatih</creator><creator>Kahraman, Cengiz</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope></search><sort><creationdate>20200601</creationdate><title>A corridor selection for locating autonomous vehicles using an interval-valued intuitionistic fuzzy AHP and TOPSIS method</title><author>Dogan, Onur ; Deveci, Muhammet ; Canıtez, Fatih ; Kahraman, Cengiz</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c367t-4f5d26433340ab25417079bfc2ad27a2cdc872e410a4122b40cc8d635ef9ca3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Analytic hierarchy process</topic><topic>Artificial Intelligence</topic><topic>Automation</topic><topic>Automobiles</topic><topic>Autonomous vehicles</topic><topic>Buses (vehicles)</topic><topic>Case studies</topic><topic>Computational Intelligence</topic><topic>Control</topic><topic>Decision analysis</topic><topic>Energy consumption</topic><topic>Engineering</topic><topic>Fuzzy sets</topic><topic>Hierarchies</topic><topic>Local government</topic><topic>Mathematical Logic and Foundations</topic><topic>Mechatronics</topic><topic>Methodologies and Application</topic><topic>Multiple criteria decision making</topic><topic>Preferences</topic><topic>Public transportation</topic><topic>Robotics</topic><topic>Transport vehicles</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dogan, Onur</creatorcontrib><creatorcontrib>Deveci, Muhammet</creatorcontrib><creatorcontrib>Canıtez, Fatih</creatorcontrib><creatorcontrib>Kahraman, Cengiz</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Soft computing (Berlin, Germany)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dogan, Onur</au><au>Deveci, Muhammet</au><au>Canıtez, Fatih</au><au>Kahraman, Cengiz</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A corridor selection for locating autonomous vehicles using an interval-valued intuitionistic fuzzy AHP and TOPSIS method</atitle><jtitle>Soft computing (Berlin, Germany)</jtitle><stitle>Soft Comput</stitle><date>2020-06-01</date><risdate>2020</risdate><volume>24</volume><issue>12</issue><spage>8937</spage><epage>8953</epage><pages>8937-8953</pages><issn>1432-7643</issn><eissn>1433-7479</eissn><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.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00500-019-04421-5</doi><tpages>17</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1432-7643 |
ispartof | Soft computing (Berlin, Germany), 2020-06, Vol.24 (12), p.8937-8953 |
issn | 1432-7643 1433-7479 |
language | eng |
recordid | cdi_proquest_journals_2917938572 |
source | SpringerLink Journals; ProQuest Central UK/Ireland; ProQuest Central |
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 |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-18T09%3A47%3A17IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20corridor%20selection%20for%20locating%20autonomous%20vehicles%20using%20an%20interval-valued%20intuitionistic%20fuzzy%20AHP%20and%20TOPSIS%20method&rft.jtitle=Soft%20computing%20(Berlin,%20Germany)&rft.au=Dogan,%20Onur&rft.date=2020-06-01&rft.volume=24&rft.issue=12&rft.spage=8937&rft.epage=8953&rft.pages=8937-8953&rft.issn=1432-7643&rft.eissn=1433-7479&rft_id=info:doi/10.1007/s00500-019-04421-5&rft_dat=%3Cproquest_cross%3E2917938572%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2917938572&rft_id=info:pmid/&rfr_iscdi=true |