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

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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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Data Availability

The data that support the findings of this study are available upon reasonable request from the corresponding author.

Abbreviations

VR:

Virtual Reality

HMD:

Head Mounted Display

RI:

Refuge Island

AV:

Autonomous Vehicle

VIF :

Variance Inflation Factor

AIC:

Akaike’s Information Criterion

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Acknowledgements

This publication was supported by the Qatar–Japan Research Collaboration Application Award [M-QJRC-2020-8] of Qatar University. This work also was supported by JSPS KAKENHI (grant number 20K04720).

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Authors and Affiliations

  1. Department of Environmental Engineering and Architecture, Graduate School of Environmental Studies, Nagoya University, Furo-Cho, Chikusa-Ku, Nagoya, 464-8603, Japan

    Muhammad Faizan ul Haq & Miho Iryo-Asano

  2. Qatar Transportation and Traffic Safety Center, College of Engineering, Qatar University, P.O. Box 2713, Doha, Qatar

    Wael K. M. Alhajyaseen

  3. Department of Civil and Environmental Engineering, College of Engineering, Qatar University, P.O. Box 2713, Doha, Qatar

    Wael K. M. Alhajyaseen

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  1. Muhammad Faizan ul Haq
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  2. Miho Iryo-Asano
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Correspondence to Muhammad Faizan ul Haq.

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Haq, M.F.u., Iryo-Asano, M. & Alhajyaseen, W.K.M. Modeling the Pedestrian Crossing Decision Behavior Based on Vehicle Deceleration Patterns Using Virtual Reality Environment. Int. J. ITS Res. (2024). https://doi.org/10.1007/s13177-024-00393-5

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