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dc.contributor.authorŽilionienė, Daiva
dc.contributor.authorD'Acierno, Luca
dc.contributor.authorBotte, Marilisa
dc.contributor.authorGallo, Mariano
dc.date.accessioned2023-09-18T20:09:48Z
dc.date.available2023-09-18T20:09:48Z
dc.date.issued2019
dc.identifier.issn2383-1359
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/147400
dc.description.abstractIn this paper, a general methodology for reducing computing times in procedures for solving road network design problems is proposed. Such problems which are studied extensively in the related literature concern the design of road networks, in terms of flow directions, capacity expansion and signal settings in urban contexts, and in terms of link addition and capacity expansion in rural contexts. The solution to them is almost always formulated as a bi-level model, where the upper level operates on the network design decision variables while the lower level estimates the equilibrium traffic flows, which must be known in order to determine objective function values. Computing times required for calculating equilibrium traffic flows at each iteration of the network design procedure significantly affect the total solution time. Hence, any reduction in computing times of the lower level, which has to be implemented numerous times at any step of the upper-level algorithm, allows the global computing time to be considerably reduced. In this context, the methodology proposed herein seeks to reduce computing times of the traffic assignment problem and in turn of the whole network design procedure, acting on the traffic flows adopted in the initialisation phase of the assignment algorithm. Obviously, this approach is feasible only if the topology of the network configuration remains unchanged and therefore only if the network design decision variables are limited to capacity expansion in rural contexts, or signal settings and capacity expansion in urban contexts. The proposed approach is tested on a real-scale case study: the rural road network of Vilnius County (Lithuania). Preliminary results underline the feasibility of the proposal and a significant reduction in computing times -- up to 80% -- compared to traditional approaches.eng
dc.formatPDF
dc.format.extentp. 126-141
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyJ-Gate
dc.relation.isreferencedbyOAJI
dc.relation.isreferencedbyDOAJ
dc.relation.isreferencedbyProQuest Central
dc.relation.isreferencedbyScopus
dc.rightsLaisvai prieinamas internete
dc.source.urihttp://www.ijsom.com
dc.source.urihttp://www.ijsom.com/article_2783_516.html
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:41047169/datastreams/MAIN/content
dc.titleA general methodology for reducing computing times of road network design algorithms
dc.typeStraipsnis Scopus DB / Article in Scopus DB
dcterms.accessRightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).
dcterms.references51
dc.type.pubtypeS2 - Straipsnis Scopus DB / Scopus DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionFederico II University of Naples
dc.contributor.institutionUniversity of Sannio; Benevento
dc.contributor.facultyAplinkos inžinerijos fakultetas / Faculty of Environmental Engineering
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.researchfieldT 003 - Transporto inžinerija / Transport engineering
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.vgtuprioritizedfieldsIK0303 - Dirbtinio intelekto ir sprendimų priėmimo sistemos / Artificial intelligence and decision support systems
dc.subject.ltspecializationsL106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies
dc.subject.enroad network design problem
dc.subject.enbi-level optimisation model
dc.subject.enrural road network analysis
dc.subject.enroad capacity expansion
dc.subject.encomputing times reduction
dcterms.sourcetitleInternational journal of supply and operations management (IJSOM)
dc.description.issueiss. 2
dc.description.volumevol. 6
dc.publisher.nameEBSCO Publishing Inc
dc.publisher.cityTehran
dc.identifier.doi10.22034/2019.2.3
dc.identifier.elaba41047169


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