Literature DB >> 26875167

Toyota drivers' experiences with Dynamic Radar Cruise Control, Pre-Collision System, and Lane-Keeping Assist.

Angela H Eichelberger1, Anne T McCartt2.   

Abstract

INTRODUCTION: Advanced crash avoidance and driver assistance technologies potentially can prevent or mitigate many crashes. Previous surveys with drivers have found favorable opinions for many advanced technologies; however, these surveys are not necessarily representative of all drivers or all systems. As the technologies spread throughout the vehicle fleet, it is important to continue studying driver acceptance and use of them.
METHOD: This study focused on 2010-2013 Toyota Sienna and Prius models that were equipped with adaptive cruise control, forward collision avoidance, and lane departure warning and prevention (Prius models only). Telephone interviews were conducted in summer 2013 with 183 owners of vehicles with these technologies.
RESULTS: About 9 in 10 respondents wanted adaptive cruise control and forward collision avoidance on their next vehicle, and 71% wanted lane departure warning/prevention again. Males and females reported some differences in their experiences with the systems; for example, males were more likely to have turned on lane departure warning/prevention than females, and when using this system, males reported more frequent warnings than did females. Relative to older drivers, drivers age 40 and younger were more likely to have seen or heard a forward collision warning.
CONCLUSIONS: Consistent with the results in previous surveys of owners of luxury vehicles, the present survey found that driver acceptance of the technologies was high, although less so for lane departure warning/prevention. Experiences with the Toyota systems differed by driver age and gender to a greater degree than in previous surveys, suggesting that the responses of drivers may begin to differ as crash avoidance technology becomes available on a wider variety of vehicles. PRACTICAL APPLICATION: Crash avoidance technologies potentially can prevent or mitigate many crashes, but their success depends in part on driver acceptance. These systems will be effective only to the extent that drivers use them.
Copyright © 2015 Elsevier Ltd and National Safety Council. All rights reserved.

Keywords:  Crash avoidance technology; Driver acceptance; Driver assistance; Driver behavior

Mesh:

Year:  2015        PMID: 26875167     DOI: 10.1016/j.jsr.2015.12.002

Source DB:  PubMed          Journal:  J Safety Res        ISSN: 0022-4375


  5 in total

1.  Aging: Older Adults' Driving Behavior Using Longitudinal and Lateral Warning Systems.

Authors:  Dustin J Souders; Neil Charness; Nelson A Roque; Hellen Pham
Journal:  Hum Factors       Date:  2019-07-30       Impact factor: 2.888

2.  Preferred Sources of Information, Knowledge, and Acceptance of Automated Vehicle Systems: Effects of Gender and Age.

Authors:  Pamela M Greenwood; Carryl L Baldwin
Journal:  Front Psychol       Date:  2022-05-23

Review 3.  Use, perceptions, and benefits of automotive technologies among aging drivers.

Authors:  David W Eby; Lisa J Molnar; Liang Zhang; Renée M St Louis; Nicole Zanier; Lidia P Kostyniuk; Sergiu Stanciu
Journal:  Inj Epidemiol       Date:  2016-12-19

4.  Use and Perceptions of Advanced Driver Assistance Systems by Older Drivers With and Without Age-Related Macular Degeneration.

Authors:  Rebecca A Deffler; Jing Xu; Ava K Bittner; Alex R Bowers; Shirin E Hassan; Nicole Ross; San-San L Cooley; Aprile Doubt; Frederick H Davidorf; Bradley E Dougherty
Journal:  Transl Vis Sci Technol       Date:  2022-03-02       Impact factor: 3.283

5.  Traffic Flow Detection Using Camera Images and Machine Learning Methods in ITS for Noise Map and Action Plan Optimization.

Authors:  Luca Fredianelli; Stefano Carpita; Marco Bernardini; Lara Ginevra Del Pizzo; Fabio Brocchi; Francesco Bianco; Gaetano Licitra
Journal:  Sensors (Basel)       Date:  2022-03-01       Impact factor: 3.576

  5 in total

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