DocumentCode :
585172
Title :
Assessment of key factors in attention to pedestrian crossing sign
Author :
Rahimi, A.M. ; Kazemi, M. ; Pakgohar, A.
Author_Institution :
Civil Eng. Dept., Univ. of Zanjan, Zanjan, Iran
fYear :
2012
fDate :
10-12 Sept. 2012
Firstpage :
1
Lastpage :
4
Abstract :
The unsafe behavior of drivers when it is important that in addition to their, also will jeopardizing the health and lives of other people. Traffic signs, is one of the communication tools between driver and road, for do increase the safety. In this study have been evaluated the key parameters regard to attention and observe the messages issued by the road sign "pedestrian crossing". Database of study be collected by questionnaire (527 sheet) and was according to face to face method in drivers. Goal of this study was the discovering the important parameters and or parameters from five parameters; Age, Gender, Job, Marital status, education. For this issue, was used the “Chi Square” hypothesis test and data mining method (CART). The Interface the chi square hypothesis test and data mining method have been showed the more significant of driver\´s job and education to three other parameters. Given the extensive discussion of the behavior and performance drivers, other parameters can be investigated in future studies of human and so vehicle parameters, road and environment, In order to explore the major factors dropping to the challenges of safety, be reviewed.
Keywords :
age issues; data mining; education; gender issues; pedestrians; road safety; statistical testing; CART; age parameter; chi square hypothesis test; data mining method; driver behavior; driver performance; driver-road communication tools; drivers unsafe behavior; education parameter; gender parameter; job parameter; marital status parameter; pedestrian crossing sign; road safety; road sign; Data mining; Data models; Education; Roads; Safety; Vehicles; CART Algorithm; Chi- Square Test; Safety; Traffic; Traffic Signs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Statistics in Science, Business, and Engineering (ICSSBE), 2012 International Conference on
Conference_Location :
Langkawi
Print_ISBN :
978-1-4673-1581-4
Type :
conf
DOI :
10.1109/ICSSBE.2012.6396550
Filename :
6396550
Link To Document :
بازگشت