DocumentCode :
2438868
Title :
Influence analysis of driver factors on driving reliability under raining environment
Author :
Liu, Zhaohui ; Wang, Chao ; Sun, Yanyan ; Sun, Tianjiao
Author_Institution :
Coll. of Resources & Environ. Eng., Shandong Univ. of Sci. & Technol., Qingdao, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
417
Lastpage :
420
Abstract :
In order that researches the influence of driver factors on driving reliability under raining environment, this paper utilizes method of Principal Component Analysis to obtain representative indexes in five main driver parameters of sight, perception reaction capacity, perceptive capacity of environment, concentrating degree of attention and impatient emotion, therefore illuminates important influence of key driver factors on driving reliability. Results of case indicate that the method can effectually transform multitudinous indexes with linear correlation in influence factors set of traffic safety into representative linearly independent index variable, which provides new means for quantitative analyzing holistic reliability of driver-vehicle-environment system under complicated conditions, and provides theoretical basis for building evaluation model of driving reliability.
Keywords :
principal component analysis; road safety; road traffic; transportation; concentrating degree of attention; driver factors; driver sight parameter; driver-vehicle-environment system; driving reliability; impatient emotion; linearly independent index variable; perception reaction capacity; perceptive capacity of environment; principal component analysis; raining environment; traffic safety; transportation system; Driver circuits; Eigenvalues and eigenfunctions; Indexes; Principal component analysis; Rain; Reliability theory; Driver factors; Driving reliability; Principal Component Analysis; Raining; Traffic safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
Type :
conf
DOI :
10.1109/RSETE.2011.5964301
Filename :
5964301
Link To Document :
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