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Statistical evaluation of data requirement for ramp metering performance assessment
Transportation Research Part A: Policy and Practice ( IF 6.4 ) Pub Date : 2020-10-05 , DOI: 10.1016/j.tra.2020.09.011
Xiaobo Ma , Abolfazl Karimpour , Yao-Jan Wu

Ramp metering is known to be an effective freeway control measure that ensures the overall efficiency and safety of a highway system by regulating the inflow traffic on-ramps. Therefore, agencies are required to frequently assess the performance of their ramp meters. However, one major challenge for the agencies conducting ramp metering performance assessments is the lack of knowledge about data requirements. Data requirements consist of the information regarding the duration of data collection for accommodation time (the time needed for the users to get familiar with the change) and for the evaluation time. In this paper, a non-parametric statistic approach is proposed that is robust to the underlying distribution of the random variable. Meaning that the accuracy of the model is insensitive to the data distribution. For validation purposes, three active ramps along State Route 51, in the Phoenix Metropolitan area, Arizona are selected as the case study. ADOT altered their ramp control strategy from fixed-time to responsive control and is attempting to know the extent of data required for assessing its new ramp metering strategy. For this particular case study, the results suggest that two months’ worth of data is the minimum data sufficient for a ramp metering assessment. The proposed assessment approach can be transferred to other ramp metering applications to help traffic engineers efficiently tune up ramp metering strategies.



中文翻译:

斜坡计量性能评估所需数据的统计评估

众所周知,匝道计量是一种有效的高速公路控制措施,可通过调节坡道上的流入交通量来确保高速公路系统的整体效率和安全性。因此,要求代理商经常评估其坡度计的性能。然而,对于进行斜坡计量性能评估的机构来说,一个主要挑战是缺乏对数据需求的了解。数据需求包括有关住宿时间(用户熟悉变更所需的时间)和评估时间的数据收集持续时间的信息。本文提出了一种非参数统计方法,该方法对随机变量的基础分布具有鲁棒性。这意味着模型的准确性对数据分布不敏感。出于验证目的,案例研究选择了亚利桑那州凤凰城地区沿51号国道的三个活动坡道。ADOT已将其斜坡控制策略从固定时间更改为响应式控制,并试图了解评估其新斜坡测量策略所需的数据范围。对于此特定案例研究,结果表明,两个月的数据是足以进行斜坡计量评估的最小数据。提议的评估方法可以转移到其他匝道计量应用中,以帮助交通工程师有效地调整匝道计量策略。ADOT已将其斜坡控制策略从固定时间更改为响应式控制,并试图了解评估其新斜坡测量策略所需的数据范围。对于此特定案例研究,结果表明,两个月的数据是足以进行斜坡计量评估的最小数据。提议的评估方法可以转移到其他匝道计量应用中,以帮助交通工程师有效地调整匝道计量策略。ADOT已将其斜坡控制策略从固定时间更改为响应式控制,并试图了解评估其新斜坡测量策略所需的数据范围。对于此特定案例研究,结果表明,两个月的数据是足以进行斜坡计量评估的最小数据。提议的评估方法可以转移到其他匝道计量应用中,以帮助交通工程师有效地调整匝道计量策略。

更新日期:2020-10-05
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