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https://hdl.handle.net/11499/36910
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Capali, B. | - |
dc.contributor.author | Ceylan, Halim | - |
dc.date.accessioned | 2021-02-02T09:23:16Z | |
dc.date.available | 2021-02-02T09:23:16Z | |
dc.date.issued | 2020 | - |
dc.identifier.issn | 0308-1060 | - |
dc.identifier.uri | https://hdl.handle.net/11499/36910 | - |
dc.identifier.uri | https://doi.org/10.1080/03081060.2020.1829093 | - |
dc.description.abstract | The Transit Network Design and Frequency Setting Problem (TNDFSP) can be defined as the creation of effective routes in a public transport network and the determination of relevant frequencies. Generally, the TNDFSP problem is in the same category as the Traveling Salesman Problem (TSP), which is known to be a non-deterministic polynomial-period (NP-hard) difficult problem. This study consists of two stages: first, the design of a public transport network with an evolutionary optimization technique–the Intelligent Water Drops (IWD) algorithm–based on the TSP and the determination of relevant frequencies; and second, the assignment of passengers to designated routes. All decisions related to public transport network design may be evaluated by considering environmental costs in relation to passengers, operators and the environment. This study presents an acceptable, constructive and original algorithm. © 2020 Informa UK Limited, trading as Taylor & Francis Group. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Routledge | en_US |
dc.relation.ispartof | Transportation Planning and Technology | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | case study | en_US |
dc.subject | evaluation | en_US |
dc.subject | intelligent water drops algorithm | en_US |
dc.subject | numerical application | en_US |
dc.subject | passenger assignment | en_US |
dc.subject | routing network design | en_US |
dc.subject | Urban transit | en_US |
dc.subject | Evolutionary algorithms | en_US |
dc.subject | Heuristic methods | en_US |
dc.subject | NP-hard | en_US |
dc.subject | Optimization | en_US |
dc.subject | Transportation routes | en_US |
dc.subject | Environmental costs | en_US |
dc.subject | Evolutionary Optimization Techniques | en_US |
dc.subject | Frequency setting | en_US |
dc.subject | Intelligent Water Drops (IWD) | en_US |
dc.subject | Meta-heuristic approach | en_US |
dc.subject | Original algorithms | en_US |
dc.subject | Public transport networks | en_US |
dc.subject | Transit network design | en_US |
dc.subject | Traveling salesman problem | en_US |
dc.subject | algorithm | en_US |
dc.subject | heuristics | en_US |
dc.subject | network design | en_US |
dc.subject | numerical method | en_US |
dc.subject | public transport | en_US |
dc.subject | urban transport | en_US |
dc.title | A multi-objective meta-heuristic approach for the transit network design and frequency setting problem | en_US |
dc.type | Article | en_US |
dc.identifier.volume | 43 | en_US |
dc.identifier.issue | 8 | en_US |
dc.identifier.startpage | 851 | |
dc.identifier.startpage | 851 | en_US |
dc.identifier.endpage | 867 | en_US |
dc.authorid | 0000-0002-4616-5439 | - |
dc.identifier.doi | 10.1080/03081060.2020.1829093 | - |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopus | 2-s2.0-85092504493 | en_US |
dc.identifier.wos | WOS:000577287700001 | en_US |
dc.identifier.scopusquality | Q2 | - |
dc.owner | Pamukkale University | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.openairetype | Article | - |
item.cerifentitytype | Publications | - |
item.fulltext | No Fulltext | - |
crisitem.author.dept | 10.02. Civil Engineering | - |
Appears in Collections: | Mühendislik Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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