A Fuzzy Decision-Making Support Model for Traffic Safety Analysis
Expert Systems, vol.42, no.9, 2025 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 42 Issue: 9
- Publication Date: 2025
- Doi Number: 10.1111/exsy.70104
- Journal Name: Expert Systems
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Keywords: analytic hierarchy process, best worst method, decision-making, driver behaviour, fuzzy sets, road safety
- Open Archive Collection: Article
- Azerbaijan State University of Economics (UNEC) Affiliated: Yes
Abstract
Our study delves into the crucial issue of road safety by examining the intricate dynamics of driver behaviour, often resulting in tragic accidents. The importance of comprehending these behaviours is acknowledged, leading us to propose an innovative decision-making support model that integrates the analytic hierarchy process (AHP) with the best worst method (BWM) in a fuzzy context. Our objective is to effectively evaluate the overall influence of driver behaviour on road safety while reducing ambiguity in assessments. In a practical case study involving skilled drivers in Budapest, Hungary, a thorough survey was conducted to prioritise key driving behaviour factors that impact road safety. Our findings reveal ‘errors’ as the most vital aspect, followed by specific behaviours like ‘colliding when reversing without observation’ and ‘driving under the influence of alcohol’. By simplifying the survey procedure and offering practical insights, our unified model improves decision-making for policymakers striving to tackle road safety issues efficiently. To conclude, our research showcases the effectiveness of merging AHP and BWM methodologies in a fuzzy setting to obtain valuable perspectives on road safety concerns, ultimately aiding in the advancement of sustainable transportation systems.