A Fuzzy Dynamical Approach for Examining Driver Behavior Criteria Related to Road Safety

Danish Farooq, Sarbast Moslem
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引用次数: 11

Abstract

The driver behavior identification is key to efforts to reduce driver injury and fatality risk. The paper aims to valorize and prioritize the most significant driver behavior criteria related to road safety in Budapest city. The study intended to identify similarities and differences in driver behavior criteria between two groups called as young drivers and senior drivers. Also, the study determined that how self-reported aberrant driving behaviors change across the examined group of drivers. As a methodology, the fuzzy analytic hierarchy process (FAHP) was implemented by using real data where two different stakeholder groups involved. Driver behavior questionnaire (DBQ) was designed by considering the main driver behavior categories (violations, errors and lapses), subcategories and related individual behaviors. The integrated fuzzy analytic hierarchy process method ensures a salutary analysis to endeavor vagueness in comparison within and between criteria. The proposed method findings could be convenient to promote safe driving behaviors and highlight the information-based road safety solutions with a focus on the diverse characteristics of each examined group.
道路安全驾驶员行为准则的模糊动力学检验方法
驾驶员行为识别是降低驾驶员伤害和死亡风险的关键。本文旨在评估和优先考虑与布达佩斯城市道路安全相关的最重要的驾驶员行为标准。这项研究旨在确定两组被称为年轻司机和老年司机的司机行为标准的异同。此外,该研究还确定了自我报告的异常驾驶行为如何在被调查的司机群体中发生变化。作为一种方法,模糊层次分析法(FAHP)采用实际数据,其中涉及两个不同的利益相关者群体。根据驾驶员行为的主要类别(违规、失误和过失)、子类别和相关个体行为,设计驾驶员行为问卷(DBQ)。综合模糊层次分析法保证了对准则内比较和准则间比较的模糊性进行有益的分析。所提出的方法结果可以方便地促进安全驾驶行为,并突出基于信息化的道路安全解决方案,重点关注每个被调查群体的不同特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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