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Distribution of Delay in Signalized Intersections: Day-to-Day Variability in Peak-Hour Volumes

机译:信号交叉口的延误分布:高峰小时流量的每日变化

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摘要

The Highway Capacity Manual (HCM) and other analytical methods provide a point estimate of average vehicle delay for a specified lane group over a defined time period (e.g., peak hour). The estimated delay is a function of a number of factors, including geo-metrAy, signal timings, and approach volumes. Some of these factors, particularly, peak hour volume, can be considered to be random variable, and therefore the distribution of intersection delay is a function of the distribution of these random factors. This paper presents findings of a study that addresses the variability in estimated HCM delay as a function of the variation of peak hour volumes. For protected movements, the distribution of delay is analytically determined as a function of the distribution of the peak hour volume and the HCM delay equation characteristics. A numerical method is proposed to find the distribution of delay for permitted movements for which capacity changes as a result of variability in the opposing volume. The proposed methods are demonstrated through application to a hypothetical intersection. The results indicate that when the degree of saturation for the average peak hour volume is not far from 1, the HCM point estimate of average delay is not sufficient for evaluating the quality of service or designing the intersection signal timing plan. For example, the results from the hypothetical intersection examined in this paper suggest that for a permitted left turn with an average degree of saturation of 0.77 and an average delay of 37.8 s/vehicle (level of service = D), there is approximately 20% probability that the lane group operates at a level of service of E or worse (i.e., delay > 55 s/vehicle).
机译:高速公路通行能力手册(HCM)和其他分析方法提供了在定义的时间段内(例如高峰时段)指定车道组的平均车辆延迟的点估计。估计的延迟是许多因素的函数,包括几何,信号定时和进近量。这些因素中的某些因素,尤其是高峰时间,可以被认为是随机变量,因此,路口延迟的分布是这些随机因素分布的函数。本文介绍了一项研究结果,该研究解决了估计的HCM延迟随高峰时间量变化而变化的情况。对于受保护的运动,可以根据高峰时间量和HCM延迟方程特征的分布来分析确定延迟的分布。提出了一种数值方法来找到允许运动的延迟分布,由于相对体积的可变性,其容量会发生变化。通过应用于假设的交叉路口,证明了所提出的方法。结果表明,当平均高峰小时量的饱和度不远于1时,平均延迟的HCM点估计不足以评估服务质量或设计交叉路口信号定时计划。例如,本文研究的假设交叉点的结果表明,对于允许的左转弯,平均饱和度为0.77,平均延迟为37.8 s /车辆(服务水平= D),大约有20%车道组在E级或更差的服务水平下运行的概率(即,延迟> 55 s /车辆)。

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