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首页> 外文期刊>Journal of advanced transportation >Predicting Freeway Work Zone Capacity Distribution Based on Logistic Speed-Density Models
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Predicting Freeway Work Zone Capacity Distribution Based on Logistic Speed-Density Models

机译:基于逻辑速度密度模型的高速公路工作区通行能力分配预测

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Speed-volume-density relationship and capacity are key elements in modelling traffic operations, designing roadways, and evaluating facility performance. This paper uses a modified five-parameter logistic model to describe the speed-density relationship. The calibrated speed-density models show that the stop-and-go speed () and shape parameters ( and ) are similar for work zones and the nonwork zone site. Accordingly, an operational capacity prediction method is proposed. To demonstrate the effectiveness of the proposed method, the predicted operational capacities are compared with the field data, Highway Capacity Manual method, the output of WorkZoneQ software, and the ensemble tree approach under different work zone scenarios. Furthermore, a lifetime distribution prediction framework for stochastic capacity of work zones is proposed. The predicted lifetime distribution can well capture the tendency of the observed work zone capacities.
机译:速度-体积-密度关系和容量是交通运营建模,道路设计和评估设施性能的关键要素。本文使用改进的五参数逻辑模型描述速度-密度关系。校准后的速度密度模型显示,工作区和非工作区站点的走走走动速度()和形状参数(和)相似。因此,提出了一种操作能力预测方法。为了证明该方法的有效性,将预测的运营能力与现场数据,高速公路通行能力手册方法,WorkZoneQ软件的输出以及在不同工作区域方案下的集成树方法进行了比较。此外,提出了工作区随机容量的寿命分布预测框架。预测的寿命分布可以很好地捕获观察到的工作区容量的趋势。

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