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Article

Analysis of Child Traffic Safety near Primary School Areas Using UAV Technology

1
School of Transportation Sciences, University of Hasselt, 3500 Hasselt, Belgium
2
Faculty of Transport and Traffic Sciences, University of Zagreb, HR-10000 Zagreb, Croatia
3
Ernst und Young Ltd., Guangzhou 510623, China
*
Author to whom correspondence should be addressed.
Academic Editors: Aleksandra Deluka-Tibljaš, Irena Ištoka Otković and Sanja Šurdonja
Sustainability 2022, 14(3), 1144; https://doi.org/10.3390/su14031144
Received: 10 December 2021 / Revised: 31 December 2021 / Accepted: 17 January 2022 / Published: 20 January 2022
(This article belongs to the Special Issue Innovative Approaches in Children Traffic Safety)
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. View Full-Text
Keywords: child traffic safety; school areas; unmanned aerial vehicles; surrogate safety indicators; road traffic safety analysis child traffic safety; school areas; unmanned aerial vehicles; surrogate safety indicators; road traffic safety analysis
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MDPI and ACS Style

Renard, A.; Novačko, L.; Babojelić, K.; Kožul, N. Analysis of Child Traffic Safety near Primary School Areas Using UAV Technology. Sustainability 2022, 14, 1144. https://doi.org/10.3390/su14031144

AMA Style

Renard A, Novačko L, Babojelić K, Kožul N. Analysis of Child Traffic Safety near Primary School Areas Using UAV Technology. Sustainability. 2022; 14(3):1144. https://doi.org/10.3390/su14031144

Chicago/Turabian Style

Renard, Anton, Luka Novačko, Karlo Babojelić, and Nikola Kožul. 2022. "Analysis of Child Traffic Safety near Primary School Areas Using UAV Technology" Sustainability 14, no. 3: 1144. https://doi.org/10.3390/su14031144

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