Assessment of the Detectability of Vulnerable Road Users: An Empirical Study

Wentong Yang, Shota Matsubayashi, Kazuhisa Miwa, Shinya Kitayama, Manabu Otsuka, Koji Hamada

2024

Abstract

This study analysed the detectability of vulnerable road users (VRUs) as a function of time to the closest point of approach. We defined four patterns: Gradual Increasing Pattern and High Detectability Pattern as the safe situation, Immediate Increasing Pattern and Low Detectability Pattern as the dangerous situation and investigated empirically drivers’ detection patterns. The results showed that motorbikes in the same direction showed the dangerous pattern, and pedestrians in the same direction also showed the dangerous patterns but influenced by the distance of closest point of approach. Bicycles in the same direction showed higher detectability due to their positioning in the driver’s field of view for longer time. For the VRUs in the opposite direction, and those in the left and right direction, participants also showed high detectability. The results give implications for advanced driver assistance systems (ADAS) design.

Paper Citation

in Harvard Style

Yang W., Matsubayashi S., Miwa K., Kitayama S., Otsuka M. and Hamada K. (2024). Assessment of the Detectability of Vulnerable Road Users: An Empirical Study. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: HUCAPP; ISBN 978-989-758-679-8, SciTePress, pages 508-515. DOI: 10.5220/0012451300003660

in Bibtex Style

@conference{hucapp24,
author={Wentong Yang and Shota Matsubayashi and Kazuhisa Miwa and Shinya Kitayama and Manabu Otsuka and Koji Hamada},
title={Assessment of the Detectability of Vulnerable Road Users: An Empirical Study},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: HUCAPP},
year={2024},
pages={508-515},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012451300003660},
isbn={978-989-758-679-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: HUCAPP
TI - Assessment of the Detectability of Vulnerable Road Users: An Empirical Study
SN - 978-989-758-679-8
AU - Yang W.
AU - Matsubayashi S.
AU - Miwa K.
AU - Kitayama S.
AU - Otsuka M.
AU - Hamada K.
PY - 2024
SP - 508
EP - 515
DO - 10.5220/0012451300003660
PB - SciTePress