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Capacity of Large Dual and Triple-Lanes Roundabouts During Heavy Demand Conditions

机译:高需求条件下大型双层和三层环形交叉口的通行能力

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A multivariate model for the prediction of roundabout maximum entry flow during forced flow condition is developed considering the circulating flow, exiting flow and roundabout geometric characteristics. None of the current available methods are specifically developed for forced flow conditions. The data were collected from 13 large roundabouts. Beside circulating and exiting flows, number of lanes and lateral position of the vehicles, as they approach and cross the roundabout, showed significant influence on roundabout entry capacity. The developed model matched the field data reasonably well and fall well in between other methods. Substantial differences in capacity estimates were observed between various considered methods. Such differences make the judgment of accepting or rejecting capacity estimates in the region very difficult. They also lead to confusions to practicing engineers, officials, consultants and contractors. Traffic assignments and gating policies might be affected by improper assessment of capacities. Capacities estimated through the two most famous methods, UK and aaSIDRA, showed poor match with field data during forced flow conditions and with those estimated through the developed model. It is quite essential to recalibrate such methods to meet regional needs. Non-calibrated existing models, such as aaSIDRA, RODEL and French methods, did not show better capacity estimates than those much simpler ones, such as HCM, FHWA or Bahrain models. This indicates that it is essential to calibrate models for local conditions. This paper describes a new model for capacity estimation of roundabouts derived under heavy demand conditions at large roundabouts.
机译:考虑循环流量,出口流量和回旋处的几何特性,建立了用于预测强制流动情况下回旋处最大入口流量的多元模型。当前没有可用的方法专门针对强制流动条件开发。数据是从13个大型回旋处收集的。除了循环流和出口流之外,车辆的车道数量和横向位置(当它们接近并越过回旋处时)对回旋处的通行能力也有重大影响。所开发的模型与现场数据相当吻合,并且介于其他方法之间。在各种考虑的方法之间观察到容量估计存在很大差异。这种差异使该地区接受或拒绝能力估计的判断变得非常困难。它们还导致对实践工程师,官员,顾问和承包商的困惑。不正确的容量评估可能会影响交通分配和门控政策。通过两种最著名的方法(英国和aaSIDRA)估算的容量显示,在强迫流动条件下与现场数据以及通过开发的模型估算的数据之间的匹配性较差。重新校准此类方法以满足区域需求非常重要。未校准的现有模型(例如,aaSIDRA,RODEL和French方法)没有显示出比那些更简单的模型(例如,HCM,FHWA或巴林模型)更好的容量估计。这表明针对当地条件校准模型至关重要。本文介绍了一种新的模型,用于估算在大回旋处的高需求条件下得出的回旋处的容量。

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