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Modeling and Distribution of Link Travel Times: An Analysis on Istanbul Freeways

机译:链接旅行时间的建模和分布:伊斯坦布尔高速公路分析

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Travel times can be directly estimated by measurements including probe vehicles, Bluetooth detectors, and etc. Route and network wide travel times can be alternatively specified employing indirect estimation methods. These methods can be classified into two those are trajectory based and traffic flow model based. Considering the latter class, an approach to reconstruct travel times is to employ models commonly used in dynamic traffic assignment, where the travel time on a link is a treated as a function of the number of vehicles on the link. In the presented research, we concentrate on the reconstruction performance of two traffic flow models on freeway link/path travel times. A link performance function based macroscopic traffic flow model is employed and compared with a microscopic traffic flow model. Performances of selected methods are evaluated with the actual measurements on travel time. Actual travel times have been collected on weekdays by using a global positioning system (GPS) module equipped probe vehicle. Following reconstruction of link/path travel times employing macroscopic and microscopic models, an evaluation on the distribution of model calculations with the corresponding to GPS measurements presented.
机译:可以通过包括探测车,蓝牙检测器等在内的测量来直接估算行程时间。可以使用间接估算方法来指定路线和网络范围的行程时间。这些方法可以分为基于轨迹的和基于交通流模型的两种。考虑到后者,重建行驶时间的一种方法是采用动态交通分配中常用的模型,其中将链路上的行驶时间视为链路上车辆数量的函数。在提出的研究中,我们集中研究两种交通流模型在高速公路连接/路径行驶时间上的重构性能。采用基于链路性能函数的宏观交通流模型,并将其与微观交通流模型进行比较。通过对旅行时间的实际测量来评估所选方法的性能。使用配备有全球定位系统(GPS)模块的探测车在工作日收集了实际的旅行时间。在使用宏观和微观模型重建链路/路径旅行时间之后,对模型计算的分布进行了评估,并提出了与GPS测量相对应的模型。

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