How encounter timing affects the impact of eHMI on surrounding drivers during automated truck merging

IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Transportation Research Part F-Traffic Psychology and Behaviour Pub Date : 2025-02-18 DOI:10.1016/j.trf.2025.02.015
Jongseong Gwak, Keisuke Shimono, Yoshihiro Suda
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Abstract

Automated driving has emerged as a potential solution to address the shortage of drivers in the logistics industry. For its implementation, it is crucial to ensure the acceptance of drivers surrounding automated vehicles. This study focused on examining how the external Human Machine Interface (eHMI) of automated trucks, along with the timing of encounters at highway junctions, can influence the driving behavior and acceptance of surrounding drivers. A driving simulator scenario was used to investigate visual behaviors, subjective evaluations, and driving performance when drivers encountered an automated truck at a highway junction. The findings suggest that the eHMI can positively influence safety by reducing the visual reaction time of surrounding drivers. However, depending on the timing of the encounter with the automated truck, the eHMI may potentially complicate avoidance decisions for surrounding drivers. Therefore, it is essential to carefully utilize the eHMI, considering the truck’s location at a merging area or its interaction with infrastructure facilities, to facilitate better decision-making for surrounding drivers.
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来源期刊
CiteScore
7.60
自引率
14.60%
发文量
239
审稿时长
71 days
期刊介绍: Transportation Research Part F: Traffic Psychology and Behaviour focuses on the behavioural and psychological aspects of traffic and transport. The aim of the journal is to enhance theory development, improve the quality of empirical studies and to stimulate the application of research findings in practice. TRF provides a focus and a means of communication for the considerable amount of research activities that are now being carried out in this field. The journal provides a forum for transportation researchers, psychologists, ergonomists, engineers and policy-makers with an interest in traffic and transport psychology.
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