Rodyti trumpą aprašą

dc.contributor.authorGružauskas, Valentas
dc.contributor.authorBurinskienė, Aurelija
dc.contributor.authorDujak, Davor
dc.date.accessioned2023-12-22T07:07:16Z
dc.date.available2023-12-22T07:07:16Z
dc.date.issued2023
dc.identifier.issn1849-5931
dc.identifier.urihttps://etalpykla.vilniustech.lt/xmlui/handle/123456789/153819
dc.description.abstractThe distribution of goods in cities is one of the main sources of energy consumption and air pollution. Most routing solutions are designed to address common transportation problems but not to supply a specific group of food items. The supply of fresh food places new demands on e-grocery solutions. The specificity of the supply of fresh food is based on the fact that the products are delivered in small quantities to several delivery points. However, this is contrary to the principles of sustainability. An analysis of the scientific literature has revealed that more research is needed into food quality assessment and route planning taking into consideration sustainability and resilience aspects. The aim of this is to develop a dynamic route planning methodology for sustainable delivery of fresh food. The development of the methodology is based on dynamic route planning methods. This presentation focuses on traffic forecasting aspect of the recommended approach. The analysis tested various deep learning techniques to estimate traffic flow patterns in Vilnius. The analysis compared multiple features, missing value analysis and time horizon accuracy.eng
dc.formatPDF
dc.format.extentp. 481
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://blmm-conference.com/past-issues/
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:180537592/datastreams/MAIN/content
dc.titleTraffic forecasting for dynamic route scheduling
dc.typeKonferencijos pranešimo santrauka / Conference presentation abstract
dcterms.references0
dc.type.pubtypeT2 - Konferencijos pranešimo tezės / Conference presentation abstract
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionJosip Juraj Strossmayer University of Osijek
dc.contributor.facultyVerslo vadybos fakultetas / Faculty of Business Management
dc.subject.researchfieldS 003 - Vadyba / Management
dc.subject.vgtuprioritizedfieldsEV01 - Šiuolaikinių organizacijų plėtros vadyba / Management of Contemporary Organizations Development
dc.subject.ltspecializationsL106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies
dc.subject.entraffic forecasting
dc.subject.endynamic route scheduling
dc.subject.ensustainability
dc.subject.enfresh food delivery
dc.subject.endeep learning
dcterms.sourcetitleProceedings of the 23rd international scientific conference "Business Logistics in Modern Management (BLMM20023)", October 5-6, 2023, Osijek, Croatia
dc.publisher.nameJosip Juraj Strossmayer University of Osijek
dc.publisher.cityOsijek
dc.identifier.elaba180537592


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