Optimizing sound alerts for traveler information systems: Insights from a driving simulator and eye tracking study

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour Pub Date : 2025-07-16 DOI:10.1016/j.trf.2025.07.022

Saquib M. Haroon , Elizabeth Smith , Alyssa Ryan

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引用次数: 0

Abstract

Traveler information apps provide drivers with timely alerts about crashes, work zones, and road closures, using accurate, agency-reported data to enhance safety. This study evaluates the effectiveness of different types of road incident alerts in enhancing driver responses using a driving simulator, eye-tracking glasses, and a questionnaire. This study assesses driver reaction and perception behavior through a combination of recorded driving performance and eye movements, while also gathering participant feedback on the most effective alert types. The findings revealed that alerts providing comprehensive information such as incident notifications, distance to the incident, and actionable instructions were most effective in eliciting quick driver responses and improving safety, particularly when delivered two miles in advance of the incident. These types of alerts had a significantly faster response period compared to other types of alerts analyzed. Eye-tracking data indicated that simpler alerts, such as those with only incident information, could also help drivers maintain focus on the road and reduce decision-making complexity. Survey results supported these findings, showing a clear preference for alerts with detailed information, including distance and recommended actions. This study also identified the preferred optimal alert timing as being at least two miles before the incident in high-speed interstate roadway conditions. These findings emphasize the importance of clear, actionable alerts in traveler information systems and highlight opportunities for optimizing alert timing and simplicity to improve driver safety.

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优化旅客信息系统的声音警报：来自驾驶模拟器和眼动追踪研究的见解

旅行者信息应用程序使用准确的机构报告数据，为驾驶员提供有关交通事故、工作区域和道路封闭的及时警报，以提高安全性。本研究使用驾驶模拟器、眼动追踪眼镜和问卷调查来评估不同类型的道路事故警报在增强驾驶员反应方面的有效性。这项研究通过记录驾驶表现和眼球运动来评估驾驶员的反应和感知行为，同时也收集参与者对最有效的警报类型的反馈。研究结果显示，警报提供全面的信息，如事故通知、事故距离和可操作的指示，在促使驾驶员快速做出反应和提高安全性方面最有效，尤其是在事故发生前两英里提供警报时。与所分析的其他类型警报相比，这些类型警报的响应周期要快得多。眼球追踪数据表明，更简单的警报，比如那些只有事故信息的警报，也可以帮助司机保持对道路的关注，降低决策的复杂性。调查结果支持了这些发现，显示了对带有详细信息的警报的明显偏好，包括距离和建议的行动。该研究还确定了在高速州际公路条件下，首选的最佳警报时间是在事故发生前至少两英里。这些发现强调了在旅行者信息系统中清晰、可操作的警报的重要性，并强调了优化警报时间和简化警报以提高驾驶员安全的机会。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Transportation Research Part F-Traffic Psychology and Behaviour Multiple-

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.