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pages 469-479
Intelligent Connected Vehicle Information System (CVIS) for Safer and Pleasant Driving
Publication type: Book Chapter
Publication date: 2022-11-01
SJR: —
CiteScore: —
Impact factor: —
ISSN: 2193472X, 21934738
Abstract
By continuously exchanging information, connected vehicle (CV) and vehicle-to-everything (V2X) technologies can increase the connectivity of the roadRoads traffic system. In this article, two case studies were conducted under the environment of the intelligentIntelligent CV. Study 1 performed focus group interviews and a questionnaireQuestionnaire survey to investigate the preferences of Chinese drivers concerning the design of connected vehicle information systems (CVISs). The results show that participants preferred visual warningWarnings signalsSignals and descriptive verbal speech. Safety-related functions, such as providing rescue services, vehicle malfunction reminders, and information on hazardsHazard in the surrounding area, were valued most among participants. Study 2 investigated the design of vibrationVibration warningWarnings signalsSignals for quicker reaction. Simple reaction time (SRT) and the choice reaction time (CRT) were respectively measured under vibrationVibration warningsWarnings in two experiments. Results show that the response time was the shortest when vibrationsVibration were presented at ears, compared to the vibrationsVibration at wrists and shins. The S-R compatibility effect during all tasks was not significant.
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Zhou X., Zheng J., Zhang W. Intelligent Connected Vehicle Information System (CVIS) for Safer and Pleasant Driving // Automation, Collaboration, & E-Services. 2022. pp. 469-479.
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Zhou X., Zheng J., Zhang W. Intelligent Connected Vehicle Information System (CVIS) for Safer and Pleasant Driving // Automation, Collaboration, & E-Services. 2022. pp. 469-479.
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TY - GENERIC
DO - 10.1007/978-3-031-10784-9_28
UR - https://doi.org/10.1007/978-3-031-10784-9_28
TI - Intelligent Connected Vehicle Information System (CVIS) for Safer and Pleasant Driving
T2 - Automation, Collaboration, & E-Services
AU - Zhou, Xin
AU - Zheng, Jingyue
AU - Zhang, Wei
PY - 2022
DA - 2022/11/01
PB - Springer Nature
SP - 469-479
SN - 2193-472X
SN - 2193-4738
ER -
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@incollection{2022_Zhou,
author = {Xin Zhou and Jingyue Zheng and Wei Zhang},
title = {Intelligent Connected Vehicle Information System (CVIS) for Safer and Pleasant Driving},
publisher = {Springer Nature},
year = {2022},
pages = {469--479},
month = {nov}
}