Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/29647
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dc.contributor.authorRistov Risteen_US
dc.contributor.authorNedevska Ivonaen_US
dc.contributor.authorZafirovski Zlatkoen_US
dc.contributor.authorOgnjenovic Slobodanen_US
dc.contributor.authorGacevski Vaskoen_US
dc.date.accessioned2024-03-02T11:31:16Z-
dc.date.available2024-03-02T11:31:16Z-
dc.date.issued2022-03-
dc.identifier.isbn9788682707356-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/29647-
dc.description.abstractIdentifying and classifying accident black spots on urban roads is a critical element of road safety research. An accident blackspot treatment program is a safety improvement program that can reactively deal with accidents. However, implementing such a program requires relevant accident data, which are generally unavailable or limited in developing countries. Thus, this paper proposes a supportive approach (public participation) to overcome this hindrance. Residence can identify locations where accidents occurrences are unusually high, and their input is potentially helpful for the identification process. In addition, besides the indirect benefits to creating public awareness, the proposed methodology is potentially helpful for speeding up and economizing the accident spot locations identification process. Finally, the paper proposes various construction and traffic safety measures to improve safety.en_US
dc.language.isoenen_US
dc.publisherUNIVERSITY OF MONTENEGRO FACULTY OF CIVIL ENGINEERINGen_US
dc.subjectRoad safety, accident black spot, construction measures, traffic measures, accidents.en_US
dc.titleMEASURES TO IMPROVE SAFETY ON EXISTING MAIN STREET 101en_US
dc.typeProceeding articleen_US
dc.relation.conferenceTHE 8th INTERNATIONAL CONFERENCE "CIVIL ENGINEERING – SCIENCE AND PRACTICE"en_US
item.grantfulltextopen-
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Appears in Collections:Faculty of Civil Engineering: Conference papers
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