期刊论文

Xu, PP

英文

Travel Behaviour and Society

2214-367X

2024

35

100760

10.1016/j.tbs.2024.100760

CRediT authorship contribution statement Yun Ye: Conceptualization, Formal analysis, Data curation, Software, Validation, Visualization, Writing – original draft. Pengjun Zheng: Formal analysis, Writing – review & editing. Haoyang Liang: Writing – review & editing. Xiqun Chen: Writing – review & editing. S.C. Wong: Resources, acquistion, Writing – review & editing. Pengpeng Xu: Conceptualization, Formal analysis, acquistion, Writing – review & editing. The work was supported by grants from the Natural Science Foundation of China (Project No. 52302433), Talent Start-up Project of Ningbo University (Project No. ZX2023000249), Ningbo Yongjiang Talent Project Young Innovative Talent Program (Project No. ZX2024000003), Natural Science Foundation of Guangdong Province, China (Project No. 2023A1515012404), Open Fund of Hunan Key Laboratory of Smart Roadway and Cooperative Vehicle-Infrastructure Systems, Changsha University of Science & Technology

本校为其他机构

Background: Intoxicated pedestrians are particularly vulnerable while crossing roads because of their impaired cognitive and decision-making abilities. A deeper understanding of the crossing behaviors of pedestrians under the influence serves as the foundations for formulation of tailor-made countermeasures. Methods: In this study an experiment based on the immersive virtual reality was conducted, by which 53 samples of Hong Kong pedestrians' crossing trajectories before and after alcohol intake were collected. The K-means algorithm was first used to classify pedestrians into two distinct type...