دورية أكاديمية

Impacts of information quantity and display formats on driving behaviors in a connected vehicle environment.

التفاصيل البيبلوغرافية
العنوان: Impacts of information quantity and display formats on driving behaviors in a connected vehicle environment.
المؤلفون: Zhao W; School of Information Engineering, Chang'an University, Xi'an 710064, China; Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hong Kong, China., Gong S; School of Information Engineering, Chang'an University, Xi'an 710064, China. Electronic address: sgong@chd.edu.cn., Zhao D; James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK., Liu F; School of Information Engineering, Chang'an University, Xi'an 710064, China., Sze NN; Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hong Kong, China., Quddus M; Department of Civil and Environmental Engineering, Imperial College London, London SW7 2AZ, UK., Huang H; School of Traffic and Transportation Engineering, Central South University, Changsha 410000, China., Zhao X; School of Information Engineering, Chang'an University, Xi'an 710064, China.
المصدر: Accident; analysis and prevention [Accid Anal Prev] 2024 Aug; Vol. 203, pp. 107621. Date of Electronic Publication: 2024 May 10.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Pergamon Press Country of Publication: England NLM ID: 1254476 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2057 (Electronic) Linking ISSN: 00014575 NLM ISO Abbreviation: Accid Anal Prev Subsets: MEDLINE
أسماء مطبوعة: Publication: Oxford : Pergamon Press
Original Publication: [New York, Pergamon Press]
مواضيع طبية MeSH: Automobile Driving*/psychology , Accidents, Traffic*/prevention & control, Humans ; Male ; Female ; Adult ; Young Adult ; User-Computer Interface ; Man-Machine Systems ; Automobiles ; Middle Aged ; Data Display
مستخلص: The emerging connected vehicle (CV) technologies facilitate the development of integrated advanced driver assistance systems (ADASs), with which various functions are coordinated in a comprehensive framework. However, challenges arise in enabling drivers to perceive important information with minimal distractions when multiple messages are simultaneously provided by integrated ADASs. To this end, this study introduces three types of human-machine interfaces (HMIs) for an integrated ADAS: 1) three messages using a visual display only, 2) four messages using a visual display only, and 3) three messages using visual plus auditory displays. Meanwhile, the differences in driving performance across three HMI types are examined to investigate the impacts of information quantity and display formats on driving behaviors. Additionally, variations in drivers' responses to the three HMI types are examined. Driving behaviors of 51 drivers with respect to three HMI types are investigated in eight field testing scenarios. These scenarios include warnings for rear-end collision, lateral collision, forward collision, lane-change, and curve speed, as well as notifications for emergency events downstream, the specified speed limit, and car-following behaviors. Results indicate that, compared to a visual display only, presenting three messages through visual and auditory displays enhances driving performance in four typical scenarios. Compared to the presentation of three messages, a visual display offering four messages improves driving performance in rear-end collision warning scenarios but diminishes the performance in lane-change scenarios. Additionally, the relationship between information quantity and display formats shown on HMIs and driving performance can be moderated by drivers' gender, occupation, driving experience, annual driving distance, and safety attitudes. Findings are indicative to designers in automotive industries in developing HMIs for future CVs.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 Elsevier Ltd. All rights reserved.)
فهرسة مساهمة: Keywords: Advanced driver assistance systems; Connected vehicles; Driving performance; Field tests; Human-machine interfaces
تواريخ الأحداث: Date Created: 20240510 Date Completed: 20240601 Latest Revision: 20240601
رمز التحديث: 20240602
DOI: 10.1016/j.aap.2024.107621
PMID: 38729056
قاعدة البيانات: MEDLINE
الوصف
تدمد:1879-2057
DOI:10.1016/j.aap.2024.107621