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Mathematical Problems in EngineeringVolume 2021, 2021, Article number 9965753

Determination of Moving Speed of School Age Children(Article)(Open Access)

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  • Department of Traffic Engineering, Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia

Abstract

School age children (pedestrians) can move at different speeds, which are conditioned by certain parameters. Not all parameters have the same effect on the pedestrian speed. According to the literature, gender and age are the most researched parameters that have an impact on the speed of pedestrians. However, a small number of authors have dealt with the influence of movement regimes (slow, normal, fast, run, and rush) on pedestrian speed, while at the same time taking into account age and gender. For that reason, this article measured the speed of movement of school age children by movement regimes, taking into account age and gender. Within the same movement regime, the influence of age, sex, height, and weight on the speed of movement was investigated. Experimental measurements of the speed of movement of pedestrians aged 7 to 20 years were performed. Based on the results of measurements and statistical analyzes, recommendations on the average speed of movement regimes, age, and gender are given. © 2021 Milan Simeunović et al.

Indexed keywords

Engineering controlled terms:EngineeringMathematical techniques
Engineering uncontrolled termsAverage speedDifferent speedMeasurements ofMoving speedPedestrian speed
Engineering main heading:Speed
  • ISSN: 1024123X
  • Source Type: Journal
  • Original language: English
  • DOI: 10.1155/2021/9965753
  • Document Type: Article
  • Publisher: Hindawi Limited

  Tanackov, I.; Department of Traffic Engineering, Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia;
© Copyright 2021 Elsevier B.V., All rights reserved.

Cited by 5 documents

Vijay, N.C. , Rokade, S. , Bivina, G.R.
Towards safer streets: A review of child pedestrian behavior and safety worldwide
(2024) Transportation Research Part F: Traffic Psychology and Behaviour
Ward, T.
Gender-based Detection and Tracking of Child Pedestrians using Machine Learning
(2024) International Conference on Electrical, Computer, and Energy Technologies, ICECET 2024
Cloutier, M.-S. , Rafiei, M. , Desrosiers-Gaudette, L.
An Examination of Child Pedestrian Rule Compliance at Crosswalks around Parks in Montreal, Canada
(2022) International Journal of Environmental Research and Public Health
View details of all 5 citations
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