DocumentCode
3153915
Title
Association of self-rating, traffic regulations, visual abilities and reaction responses among drivers
Author
Liu, Bor-Shong ; Tseng, Hsien-Yu ; Chia, Tung-Chung
Author_Institution
Dept. of Ind. Eng. & Manage., St. John´´s Univ., Taipei, Taiwan
fYear
2009
fDate
6-9 July 2009
Firstpage
1010
Lastpage
1015
Abstract
Sixty-three participants who aged from 22 to 65 years old were recruited for this study and divided into three age stratifications. Assessment of participants´ abilities and self-rating were conducted by tests of traffic regulations, visual abilities and digital type speed anticipation reaction. Results of MANOVA showed that self-rating scores, test scores of traffic regulations, visual acuity, depth perception, visual field and reaction time were significant differences among drivers age. The scores of self-rating were higher in younger subjects and denoted that is engaging in too many unsafe driving practices. For visual abilities measurement, younger subjects were better visual acuity and depth perception. In addition, older drivers had more time and errors for reaction test. Female subjects had fewer errors in discriminative reaction than males. Results of this study could be used in applied and renewed for driver´s license and improving traffic safety for older drivers.
Keywords
road safety; road traffic; spatial variables measurement; velocity measurement; age 22 yr to 65 yr; depth perception; digital type speed anticipation reaction; drivers license; old driver; reaction time; self-rating method; traffic regulation; visual abilities measurement; visual acuity; Aging; Automatic testing; Computer crashes; Engineering management; Industrial engineering; Licenses; Recruitment; Road safety; Road transportation; US Department of Transportation; aging; driver´s abilities; driving; traffic safety;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers & Industrial Engineering, 2009. CIE 2009. International Conference on
Conference_Location
Troyes
Print_ISBN
978-1-4244-4135-8
Electronic_ISBN
978-1-4244-4136-5
Type
conf
DOI
10.1109/ICCIE.2009.5223802
Filename
5223802
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