Abstract
Enhancing road safety through a more effective understanding of drivers' behavior is a viable approach to curbing traffic collisions. When evaluating driving behavior, the selection of methodologies is diverse, often facing scrutiny. This study aims to detect, compare and quantify critical drivers' behavior factors concerning road safety in Budapest, Hungary. Employing the Analytic Hierarchy Process (AHP) within a spherical fuzzy framework, based on Spherical Fuzzy Sets (SFS), we assess driver preferences. Kendall's test gauges’ agreement levels among hierarchical driver groups. At Level 1, our Spherical Fuzzy AHP (SFAHP) identifies 'Lapses' as crucial, followed by 'Errors' for experienced and young drivers. However, foreign drivers prioritize 'Errors' and 'Violations.' At Level 2, “Aggressive violations” prevails across all groups, contrasting with “Ordinary violations.” At Level 3, “Driving with alcohol use” reigns supreme. Kendall's concordance demonstrates low similarity at Level 1, while strong agreement surfaces for Levels 2 and 3. Our insights can empower transportation authorities to bolster road safety strategies by addressing these pivotal behavior factors.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
