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
Link To Document :
بازگشت