Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/36862
Full metadata record
DC FieldValueLanguage
dc.contributor.authorRenard, Anton-
dc.contributor.authorNovacko, Luka-
dc.contributor.authorBabojelic, Karlo-
dc.contributor.authorKozul, Nikola-
dc.date.accessioned2022-03-10T09:11:06Z-
dc.date.available2022-03-10T09:11:06Z-
dc.date.issued2022-
dc.date.submitted2022-03-04T11:56:07Z-
dc.identifier.citationSustainability, 14 (3) (Art N° 1144)-
dc.identifier.urihttp://hdl.handle.net/1942/36862-
dc.description.abstractRoad safety in primary school areas is a delicate issue due to the vulnerability of children as road users. They are inexperienced traffic participants and sometimes their behavior in traffic situations is unpredictable. This paper reports a safety analysis conducted using video processing of conflict trajectories of vehicles and active transportation users (AT users). The videos were collected using unmanned aerial vehicles (UAVs) as this technology does not affect the actual behavior of traffic participants. Due to their airborne position, UAVs can conveniently gather information about driving behaviors and the exact positions of various participants. The safety analysis was conducted using surrogate indicators suitable for evaluating the risk of potential collisions as they incorporate both spatial proximity and speed. Three conflict indicators were used in the safety analysis: (i) time-to-collision, (ii) post-encroachment time, and (iii) heavy braking. The methodology was tested in a primary school area in the city of Zagreb. With the applied methodology, a total of 43 potential conflicts were identified in the school area (14 time-to-collision, 23 post-encroachment time, and 6 heavy braking). Based on the determined potential conflicts, safety measures were proposed to decrease the number and severity of potential conflicts and to increase traffic safety near school areas.-
dc.description.sponsorshipThis research was funded by University of Zagreb scientific project: Model of traffic safety evaluation in the school zones using UAV technologies. Project number: 210223.-
dc.language.isoen-
dc.publisherMDPI-
dc.rights2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).-
dc.subject.otherchild traffic safety-
dc.subject.otherschool areas-
dc.subject.otherunmanned aerial vehicles-
dc.subject.othersurrogate safety indicators-
dc.subject.otherroad traffic safety analysis-
dc.titleAnalysis of Child Traffic Safety near Primary School Areas Using UAV Technology-
dc.typeJournal Contribution-
dc.identifier.issue3-
dc.identifier.volume14-
local.format.pages17-
local.bibliographicCitation.jcatA1-
dc.description.notesNovacko, L (corresponding author), Univ Zagreb, Fac Transport & Traff Sci, HR-10000 Zagreb, Croatia.-
dc.description.notesrenardanton@gmail.com; luka.novacko@fpz.unizg.hr;-
dc.description.noteskarlo.babojelic@fpz.unizg.hr; nikola.kozul29@gmail.com-
local.publisher.placeST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND-
local.type.refereedRefereed-
local.type.specifiedArticle-
local.bibliographicCitation.artnr1144-
local.classdsPublValOverrule/internal_author_not_expected-
dc.identifier.doi10.3390/su14031144-
dc.identifier.isiWOS:000755497000001-
dc.identifier.eissn2071-1050-
local.provider.typewosris-
local.description.affiliation[Renard, Anton] Univ Hasselt, Sch Transportat Sci, B-3500 Hasselt, Belgium.-
local.description.affiliation[Novacko, Luka; Babojelic, Karlo] Univ Zagreb, Fac Transport & Traff Sci, HR-10000 Zagreb, Croatia.-
local.description.affiliation[Kozul, Nikola] Ernst & Young Ltd, Guangzhou 510623, Peoples R China.-
local.uhasselt.internationalyes-
item.validationecoom 2023-
item.fulltextWith Fulltext-
item.contributorRenard, Anton-
item.contributorNovacko, Luka-
item.contributorBabojelic, Karlo-
item.contributorKozul, Nikola-
item.fullcitationRenard, Anton; Novacko, Luka; Babojelic, Karlo & Kozul, Nikola (2022) Analysis of Child Traffic Safety near Primary School Areas Using UAV Technology. In: Sustainability, 14 (3) (Art N° 1144).-
item.accessRightsOpen Access-
crisitem.journal.eissn2071-1050-
Appears in Collections:Research publications
Files in This Item:
File Description SizeFormat 
Analysis of Child Traffic Safety near Primary School Areas Using UAV Technology.pdfPublished version2.62 MBAdobe PDFView/Open
Show simple item record

SCOPUSTM   
Citations

8
checked on Dec 11, 2025

WEB OF SCIENCETM
Citations

6
checked on Dec 9, 2025

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.