Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/36862
Title: Analysis of Child Traffic Safety near Primary School Areas Using UAV Technology
Authors: Renard, Anton
Novacko, Luka
Babojelic, Karlo
Kozul, Nikola
Issue Date: 2022
Publisher: MDPI
Source: Sustainability, 14 (3) (Art N° 1144)
Abstract: Road 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.
Notes: Novacko, L (corresponding author), Univ Zagreb, Fac Transport & Traff Sci, HR-10000 Zagreb, Croatia.
renardanton@gmail.com; luka.novacko@fpz.unizg.hr;
karlo.babojelic@fpz.unizg.hr; nikola.kozul29@gmail.com
Keywords: child traffic safety;school areas;unmanned aerial vehicles;surrogate safety indicators;road traffic safety analysis
Document URI: http://hdl.handle.net/1942/36862
e-ISSN: 2071-1050
DOI: 10.3390/su14031144
ISI #: WOS:000755497000001
Rights: 2022 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/).
Category: A1
Type: Journal Contribution
Validations: ecoom 2023
Appears in Collections:Research publications

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