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dc.contributor.authorJasiūnienė, Vilma
dc.contributor.authorVaiškūnaitė, Rasa
dc.date.accessioned2023-09-18T20:29:32Z
dc.date.available2023-09-18T20:29:32Z
dc.date.issued2020
dc.identifier.issn1822-427X
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/150369
dc.description.abstractNetwork-wide road safety assessment throughout the whole network is one of the four road infrastructure safety management procedures regulated by Directive 2019/1936/EC of the European Parliament and of the Council of 23 October 2019 Аmending Directive 2008/96/EC on Road Infrastructure Safety Management and one of the methods for determining the direction of investment in road safety. So far, the implementation of the procedure has been lightly regulated and adapted using various road safety indicators. The paper describes the evaluation of road accident data that is one of the criteria for conducting a network-wide road safety assessment. Taking into consideration that networkwide road safety assessment is a proactive road safety activity, the paper proposes to conduct road safety assessment considering the expected fatal accident density. Such assessment makes it possible to assess the severity of accidents, and the use of the predicted road accident data on calculating the introduced road accident rate contributing to the prevention of accidents. The paper describes both the empirical Bayes method for predicting road accidents and the application of one of the road safety indicators – the expected fatal accident density – to determine five road safety categories across the road network. The paper demonstrates the application of the proposals submitted to Lithuanian highways using road accident and traffic data for the period 2014–2018.eng
dc.formatPDF
dc.format.extentp. 31-48
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyVINITI
dc.relation.isreferencedbyCurrent Abstracts (EBSCO)
dc.relation.isreferencedbyTRIS Online
dc.relation.isreferencedbyTOC Premier
dc.relation.isreferencedbyINSPEC
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://bjrbe-journals.rtu.lv/article/view/bjrbe.2020-15.471/pdf
dc.source.urihttps://bjrbe-journals.rtu.lv/article/view/bjrbe.2020-15.471
dc.source.urihttps://doi.org/10.7250/bjrbe.2020-15.471
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:64063835/datastreams/MAIN/content
dc.titleRoad safety assessment considering the expected fatal accident density
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dcterms.licenseCreative Commons – Attribution – 4.0 International
dcterms.references25
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyAplinkos inžinerijos fakultetas / Faculty of Environmental Engineering
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.researchfieldT 004 - Aplinkos inžinerija / Environmental engineering
dc.subject.vgtuprioritizedfieldsTD0404 - Eismo saugos technologijos / Traffic safety technologies
dc.subject.ltspecializationsL106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies
dc.subject.enexpected road fatalities
dc.subject.enfatal accident density
dc.subject.ennetwork-wide road safety assessment
dc.subject.enroad accident
dc.subject.enroad safety
dcterms.sourcetitleThe Baltic journal of road and bridge engineering
dc.description.issueiss. 2
dc.description.volumevol. 15
dc.publisher.nameRiga Technical University
dc.publisher.cityRiga
dc.identifier.doi10.7250/bjrbe.2020-15.471
dc.identifier.elaba64063835


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