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International Journal of Intelligent Transportation Systems Research

28.03.2024

Modeling the Pedestrian Crossing Decision Behavior Based on Vehicle Deceleration Patterns Using Virtual Reality Environment

verfasst von: Muhammad Faizan ul Haq, Miho Iryo-Asano, Wael K. M. Alhajyaseen

Erschienen in: International Journal of Intelligent Transportation Systems Research

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Abstract

Since a considerable number of traffic fatalities are crossing pedestrians all over the world, understanding the characteristics of the pedestrian’s decision to cross unsignalized crosswalks is important for applying proper countermeasures. This study aims to clarify the quantitative impact of approaching vehicle maneuvers and road geometry on pedestrian crossing decision probability and its timing. A virtual reality experiment was designed to collect pedestrian crossing behaviors at mid-block crosswalks under various conditions, including yielding and non-yielding vehicles to pedestrians. A binary logistic regression model was developed to describe the crossing decision probability at each time. This model can be helpful in designing the motion planning of AVs to improve their reliability on the road.

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Titel: Modeling the Pedestrian Crossing Decision Behavior Based on Vehicle Deceleration Patterns Using Virtual Reality Environment
verfasst von: Muhammad Faizan ul Haq
Miho Iryo-Asano
Wael K. M. Alhajyaseen
Publikationsdatum: 28.03.2024
Verlag: Springer US
Erschienen in: International Journal of Intelligent Transportation Systems Research
Print ISSN: 1348-8503
Elektronische ISSN: 1868-8659
DOI: https://doi.org/10.1007/s13177-024-00393-5

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