Model for the capacity of the urban signal intersection with work zone
Model for the capacity of the urban signal intersection with work zone
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DOI：
10.1002/atr.1413
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发表时间：
2016
影响因子：
2.3
通讯作者：
D. Yang;Liling Zhu;Lina Ma;Ruoxiao Sun
中科院分区：
文献类型：
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作者：
D. Yang;Liling Zhu;Lina Ma;Ruoxiao Sun
在城市道路建设或维修中，工作区广泛存在于城市主干道上。然而，现有的研究非常有限，特别是在城市交叉口的工作区，虽然他们有一个严重的负面影响，城市交通系统。本研究首次关注工作区如何降低交叉口通行能力。研究了一种广泛存在的工作区类型，即跨越路段和交叉口的跨接工作区。分别提出了一种线性回归模型和《公路通行能力手册》建议的乘法模型来确定跨设工作区的信号交叉口的饱和流量。收集了22个跨工作区的数据，并用于评估所提出的模型的性能。结果表明，线性回归模型优于《公路通行能力手册》建议的乘法模型。研究还表明，减少进口（或出口）车道和机动车和非机动车（和行人）的混合可以显着降低跨工作区交叉口的通行能力。因此，在设置跨行工作区时，工作人员应尽量确保交叉口的进、出口畅通无阻，并设置非机动车和行人的分隔，避免混合车流。版权所有© 2016约翰威利父子有限公司.
Work zones exist widely on urban arterials in the cities that are undergoing road construction or maintenance. However, the existing studies on arterial work zones are very limited, especially on the work zones at urban intersections, although they have a severe negative impact on the urban traffic system. For the first time, this study focuses on how work zones reduce intersection capacity. A type of widely observed work zone, the straddling work zone that straddles on a road segment and an intersection, is studied. A linear regression model and a multiplicative model suggested by Highway Capacity Manual are proposed respectively to determine the saturation flow rate of the signal intersection with the straddling work zone. The data of 22 straddling work zones are collected and used to evaluate the performances of the proposed models. The results display that the linear regression model outperforms the multiplicative model suggested by Highway Capacity Manual. The study also reveals that reducing approach (or exit) lanes and the mixture of motor vehicles and non‐motor vehicles (and pedestrians) can significantly decrease the capacity of the intersection with straddling work zone. Therefore, in setting a straddling work zone, workers should try to ensure that the intersection approach and exit are unobstructed and set a separation for non‐motors and pedestrians to avoid mixed traffic flow. Copyright © 2016 John Wiley & Sons, Ltd.