Effort allocation in rural road safety analysis under data-limited conditions

T. Bačkalić, D. Jovanović, S. Bačkalić
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引用次数: 2

Abstract

Traffic safety policy defines plans that are expressed using numerical values for the planned level of improvement. The directing or apportioning of efforts represents the initial step of planned improvements. If a road is observed as a system of sections, the sections should be prioritized, selected, and investigated according to precise enhancement requests. A temporal approach to road safety analysis enables the application of reliability reallocation theory. The individual application of certain reliability reallocation methods may yield results that are unusable for a road authority in some situations. This paper describes a method that is based on a judicious combination of acceptable features of two reliability reallocation methods [the aeronautical radio incorporated (ARINC) and the minimum effort algorithm] in different iterations. This method enables the possibility of setting a precisely expressed goal with a minimal set of input values to obtain quality and applicable results for a decision maker. The presented approach represents an improvement in the field of road safety decision-making support and is transferable to other areas of transportation engineering and effort allocation. Language: en
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数据有限条件下农村道路安全分析的力量分配
交通安全策略定义了用数值表示计划改进水平的计划。指导或分配工作是计划改进的第一步。如果将道路作为一个路段系统来观察,则应该根据精确的增强要求对路段进行优先排序、选择和调查。道路安全分析的时间方法使可靠性再分配理论得以应用。某些可靠性再分配方法的个别应用可能会产生在某些情况下道路管理部门无法使用的结果。本文介绍了一种基于两种可靠性再分配方法(航空无线电合并(ARINC)和最小努力算法)在不同迭代中可接受特征的明智组合的方法。这种方法可以用最少的输入值设置精确表达的目标,从而为决策者获得高质量和适用的结果。所提出的方法是道路安全决策支持领域的一种改进,并可转移到交通工程和努力分配的其他领域。语言:在
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