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- Title
ESTIMATION OF DRIVERS’ BEHAVIOR CRITERIA AFFECTING ROAD SAFETY BY THE ANALYTIC HIERARCHY PROCESS APPLICATIONS.
- Authors
Farooq, Danish; Moslem, Sarbast; Tufail, Rana Faisal
- Abstract
Driver behavior has been found one of the most influential factors on road safety. Driver behavior identification is key to solve road safety issues related to driver behavior. This study aims to identify and quantify the significant driver behavior factors affecting road safety by using Analytic Network Process applications. The driver behavior dataset is collected from a self-reported questionnaire survey from novice and experienced drivers. The ANP pairwise comparison results are utilized to rank the driver behavior factors based on normalized weights. The ANP results showed that “driving without alcohol use” was the most significant driver behavior criteria for both groups. For experienced drivers, the lowest rank observed driver behavior criteria is “maintain safe gap between vehicles”. While for novice drivers the lowest rank observed driver behavior criteria is “use personal intelligent assistant”. Furthermore, the Analytic network process (ANP) model found that most of driver behavior factors are interrelated based on driver groups responses. Finally, the Kendall’s rank correlation is applied to estimate the concordant degree between evaluator groups. The results evaluated that there is a medium correlation between the driver groups but not a perfect agreement. The study results can help traffic safety authorities to focus on significant driver behavior criteria to solve road issues.
- Subjects
ANALYTIC network process; ANALYTIC hierarchy process; ROAD safety measures; INTELLIGENT personal assistants; RANK correlation (Statistics); SAFETY factor in engineering; ALCOHOL drinking
- Publication
International Journal for Traffic & Transport Engineering, 2019, Vol 9, Issue 4, p365
- ISSN
2217-544X
- Publication type
Article
- DOI
10.7708/ijtte.2019.9(4).02