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

Anton Renard, Luka Novačko, Karlo Babojelić and Nikola Kožul
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Anton Renard: School of Transportation Sciences, University of Hasselt, 3500 Hasselt, Belgium
Luka Novačko: Faculty of Transport and Traffic Sciences, University of Zagreb, HR-10000 Zagreb, Croatia
Karlo Babojelić: Faculty of Transport and Traffic Sciences, University of Zagreb, HR-10000 Zagreb, Croatia
Nikola Kožul: Ernst und Young Ltd., Guangzhou 510623, China

Sustainability, 2022, vol. 14, issue 3, 1-17

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.

Keywords: child traffic safety; school areas; unmanned aerial vehicles; surrogate safety indicators; road traffic safety analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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