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Effort Allocation in Rural Road Safety Analysis under Data-Limited Conditions

机译:数据受限条件下农村道路安全分析的工作量分配

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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. (C) 2015 American Society of Civil Engineers.
机译:交通安全政策定义了计划,这些计划使用数值表示计划的改善水平。对工作的指导或分配是计划的改进的第一步。如果将道路视为路段系统,则应根据精确的增强要求对路段进行优先级排序,选择和调查。道路安全分析的时间方法使可靠性重新分配理论得以应用。某些可靠性重新分配方法的个别应用可能会产生在某些情况下对于道路主管部门无法使用的结果。本文介绍了一种方法,该方法是基于两种可靠性重新分配方法(航空无线电合并(ARINC)和最小省力算法)在不同迭代中的可接受特征的明智组合。这种方法可以用最少的一组输入值设置精确表示的目标,从而为决策者提供质量和适用的结果。所提出的方法代表了道路安全决策支持领域的一种改进,并且可以转移到运输工程和努力分配的其他领域。 (C)2015年美国土木工程师学会。

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