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Estimating safety performance functions for two-lane rural roads using an alternative functional form for traffic volume

机译:使用交通量的替代功能形式估算双车道农村道路的安全性能功能

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Statistical models of expected crash frequency are referred to as Safety Performance Functions (SPFs) in the first edition of the American Association of State Highway and Transportation Officials' Highway Safety Manual (HSM). The SPFs in the HSM specify expected annual crash frequencies as a function of various roadway and roadside features, with the most important predictor variable being traffic volume, which serves as a measure of vehicle exposure to crashes. Traffic volumes are typically measured using the average annual daily traffic and are incorporated into the SPFs using a natural logarithm transformation. This specification suggests that the relationship between expected crash frequency and traffic volume increases non-linearly with a constant elasticity over the range of observed values. While researchers concur that the relationship between expected crash frequencies and traffic volume is non-linear, further exploration of the functional form of this relationship may offer additional insights concerning the association between safety performance and vehicle exposure. This paper proposes an alternative functional form for the traffic volume variable in SPFs that allows for different elasticities between traffic volume and expected crash frequency within different traffic volume ranges, while preserving the same general non-linear relationship in existing HSM SPFs. Although other forms-like the Hoerl function-have been proposed in the literature, the proposed model allows for natural breakpoints in the traffic volume for which roadway or geometric features might have varying effects on low- or high-volume roads. The proposed functional form was applied to SPFs developed for two-lane rural roadways in Pennsylvania. Comparisons with SPFs developed using the traditional and Hoerl functional forms suggest that this proposed functional form offers an improved fit and predictive performance, and thus might be considered for the development of future SPFs.
机译:预期碰撞频率的统计模型被称为美国国家公路和运输官员公路安全手册(HSM)第一版中的安全性能功能(SPFS)。 HSM中的SPF在HSM中指定了预期的每年碰撞频率,作为各种巷道和路边功能的函数,最重要的预测变量是交通量,它用作车辆暴露崩溃的衡量标准。通常使用平均每日流量测量流量卷,并使用自然对数转换将其纳入SPF。本说明书表明,预期碰撞频率和业务量之间的关系在观察值范围内具有恒定弹性的非线性增加。虽然研究人员同意预期碰撞频率和交通量之间的关系是非线性的,但是这种关系的功能形式的进一步探索可能提供关于安全性能与车辆暴露之间的关联的额外见解。本文提出了一种用于SPF中的流量变量的替代功能形式,其允许交通量与不同业务量范围内的预期碰撞频率之间的不同弹性,同时保留现有HSM SPF中相同的一般非线性关系。虽然在文献中提出了其他形式的HOERL函数,但是所提出的模型允许在巷道或几何特征可能对低或大批量道路上产生不同影响的交通量进行自然断点。拟议的功能形式适用于宾夕法尼亚州双车道农村道路开发的SPF。使用传统和HOERL功能形式开发的SPFS比较表明,这一提出的功能形式提供了改进的合适和预测性能,因此可能被认为是为了开发未来的SPF。

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