Optimizing in-vehicle warning sounds: core feature insights with machine learning models

IF 4.4 2区工程技术 Q1 PSYCHOLOGY, APPLIED

Transportation Research Part F-Traffic Psychology and Behaviour Pub Date : 2025-08-13 DOI:10.1016/j.trf.2025.103332

Jiawen Chen , Xuesong Wang , Mengjiao Wu , Xin Yi , Xiaowei Tang , Andrew Morris

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引用次数: 0

Abstract

Optimizing user-centered alerting systems is essential as automotive technology continues to evolve. However, previous studies have not fully clarified how individual driver characteristics affect the perception and response to warning signals. Consequently, this study employed Random Forest Regression and SHAP analysis to identify significant features and their contribution to predictions. Results showed that lane position, fixation times, and subjective urgency score were strong predictors of brake reaction time. In contrast, subjective pleasantness, driver gender, and subjective urgency score played a major role in perceived subjective warning effectiveness. Lane departure directly influences braking response, while driver characteristics impact subjective warning effectiveness. These findings provide insight into feature selection and model generalizability. They also help to identify the factors that improve the effectiveness of in-vehicle warnings and support safer driving behavior.

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优化车内警告声音：机器学习模型的核心特征洞察

随着汽车技术的不断发展，优化以用户为中心的报警系统至关重要。然而，以往的研究并没有完全阐明驾驶员的个体特征如何影响对警告信号的感知和反应。因此，本研究采用随机森林回归和SHAP分析来识别重要特征及其对预测的贡献。结果表明，车道位置、注视时间和主观紧急评分是制动反应时间的重要预测因子。主观愉悦度、驾驶员性别和主观紧迫性得分对感知的主观警告效果起主要作用。车道偏离直接影响制动响应，驾驶员特征影响主观预警效果。这些发现为特征选择和模型的可泛化性提供了见解。它们还有助于确定提高车内警告有效性的因素，并支持更安全的驾驶行为。

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.