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Pregled bibliografske jedinice broj: 940891

Predicting Traffic Signs Functional Service Life Using Survival Analysis Method


Ščukanec, Anđelko; Patrlj, Milan; Fiolić, Mario; Babić, Dario
Predicting Traffic Signs Functional Service Life Using Survival Analysis Method // Proceedings of the 5th International Conference on Road and Rail Infrastructure / Lakušić, Stjepan (ur.).
Zagreb: Građevinski fakultet Sveučilišta u Zagrebu, 2018. str. 957-963 doi:10.5592/CO/CETRA.2018.672 (poster, međunarodna recenzija, cjeloviti rad (in extenso), ostalo)


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Naslov
Predicting Traffic Signs Functional Service Life Using Survival Analysis Method

Autori
Ščukanec, Anđelko ; Patrlj, Milan ; Fiolić, Mario ; Babić, Dario

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), ostalo

Izvornik
Proceedings of the 5th International Conference on Road and Rail Infrastructure / Lakušić, Stjepan - Zagreb : Građevinski fakultet Sveučilišta u Zagrebu, 2018, 957-963

ISBN
978-953-8168-25-3

Skup
5th International Conference on Road and Rail Infrastructure (CETRA 2018)

Mjesto i datum
Zadar, Hrvatska, 17.05.2018. - 19.05.2018

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Traffic signs ; Traffic Safety ; Survival Analysis ; Retroreflection ; Asset Management
(traffic signs ; traffic safety ; survival analysis ; retroreflection ; asset management)

Sažetak
In order to fulfil their function, traffic signs must be visible to all traffic participants in all weather and traffic conditions. This is especially important in conditions of reduced visibility in which, due to the limited amount of visual information, signs present basic elements for informing traffic participants about the upcoming road condition. The quality and timeliness of the informations transfer, in mentioned conditions, are directly related to the retroreflective characteristics of traffic signs. If the signs do not meet the minimum prescribed values of the retroreflection, the authorities should replace them. Given the amount of traffic signs on the roads, the type of retroreflective material and their age, the substitution of signs that do not meet the prescribed values requires significant financial resources. The purpose of this paper is to predict, using Survival analysis method, when the traffic signs, from the aspect of retroreflection, become dysfunctional, i.e. when their replacement is required. The results of this paper may help the road authorities in planning periodic measurements of traffic signs retroreflection and ultimately optimizing the traffic signs maintenance activities, all with the goal of increasing the overall road safety.

Izvorni jezik
Engleski

Znanstvena područja
Tehnologija prometa i transport



POVEZANOST RADA


Ustanove:
Fakultet prometnih znanosti, Zagreb

Profili:

Avatar Url Anđelko Ščukanec (autor)

Avatar Url Dario Babić (autor)

Avatar Url Mario Fiolić (autor)

Poveznice na cjeloviti tekst rada:

doi master.grad.hr

Citiraj ovu publikaciju:

Ščukanec, Anđelko; Patrlj, Milan; Fiolić, Mario; Babić, Dario
Predicting Traffic Signs Functional Service Life Using Survival Analysis Method // Proceedings of the 5th International Conference on Road and Rail Infrastructure / Lakušić, Stjepan (ur.).
Zagreb: Građevinski fakultet Sveučilišta u Zagrebu, 2018. str. 957-963 doi:10.5592/CO/CETRA.2018.672 (poster, međunarodna recenzija, cjeloviti rad (in extenso), ostalo)
Ščukanec, A., Patrlj, M., Fiolić, M. & Babić, D. (2018) Predicting Traffic Signs Functional Service Life Using Survival Analysis Method. U: Lakušić, S. (ur.)Proceedings of the 5th International Conference on Road and Rail Infrastructure doi:10.5592/CO/CETRA.2018.672.
@article{article, author = {\v{S}\v{c}ukanec, An\djelko and Patrlj, Milan and Fioli\'{c}, Mario and Babi\'{c}, Dario}, editor = {Laku\v{s}i\'{c}, S.}, year = {2018}, pages = {957-963}, DOI = {10.5592/CO/CETRA.2018.672}, keywords = {Traffic signs, Traffic Safety, Survival Analysis, Retroreflection, Asset Management}, doi = {10.5592/CO/CETRA.2018.672}, isbn = {978-953-8168-25-3}, title = {Predicting Traffic Signs Functional Service Life Using Survival Analysis Method}, keyword = {Traffic signs, Traffic Safety, Survival Analysis, Retroreflection, Asset Management}, publisher = {Gra\djevinski fakultet Sveu\v{c}ili\v{s}ta u Zagrebu}, publisherplace = {Zadar, Hrvatska} }
@article{article, author = {\v{S}\v{c}ukanec, An\djelko and Patrlj, Milan and Fioli\'{c}, Mario and Babi\'{c}, Dario}, editor = {Laku\v{s}i\'{c}, S.}, year = {2018}, pages = {957-963}, DOI = {10.5592/CO/CETRA.2018.672}, keywords = {traffic signs, traffic safety, survival analysis, retroreflection, asset management}, doi = {10.5592/CO/CETRA.2018.672}, isbn = {978-953-8168-25-3}, title = {Predicting Traffic Signs Functional Service Life Using Survival Analysis Method}, keyword = {traffic signs, traffic safety, survival analysis, retroreflection, asset management}, publisher = {Gra\djevinski fakultet Sveu\v{c}ili\v{s}ta u Zagrebu}, publisherplace = {Zadar, Hrvatska} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Conference Proceedings Citation Index - Science (CPCI-S)


Citati:





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