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Modelling the Operating Speed in Segments of Two-Lane Highways from Probe Vehicle Data: A Stochastic Frontier Approach

机译:从探查车辆数据模拟两车道高速公路段中的运行速度:随机前沿方法

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Most of the existing operating speed statistical models are applicable to individual design elements, particularly horizontal curves and tangents. A segment approach to operating speed has rarely been followed, with a few exceptions mainly related to the performance assessment of urban and freeway corridors, or design consistency studies using speed profiles built from successive design elements. This study introduces a new model to predict operating speeds in segments of two-lane highways. The maximum operating speed is given by a stochastic frontier function of the average daily traffic and road geometrics; the asymmetric disturbance accounts for the diversity in drivers’ behaviour and vehicle characteristics, allowing estimating any percentile speed. The model was calibrated using probe vehicle data from noncongested roads. The accuracy of the average daily traffic in representing the actual driving conditions was further validated using simultaneous speed-traffic measurements. The new model aims to assist practitioners in the evaluation of design consistency from a macroscopic perspective since the early stages of road planning and design, as well as to support the definition of speed limits at new or existing infrastructures.
机译:现有的大多数运行速度统计模型大多数都适用于单个设计元素,尤其是水平曲线和切线。很少采用分段的运行速度方法,少数例外主要与城市和高速公路走廊的性能评估有关,或者与使用由连续设计元素构建的速度分布图进行的设计一致性研究有关。这项研究引入了一种新模型来预测两车道高速公路段的运行速度。最大运行速度由平均每日路况和道路几何形状的随机边界函数给出;非对称扰动说明了驾驶员行为和车辆特性的差异,从而可以估算任何百分位速度。使用来自非拥挤道路的探测车辆数据对模型进行了校准。使用同时进行的速度流量测量进一步验证了平均每日流量在代表实际驾驶状况方面的准确性。自道路规划和设计的早期阶段以来,新模型旨在帮助从宏观角度从业人员评估设计一致性,并支持在新的或现有基础设施上定义速度限制。

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