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Analysis of Link Travel Time Estimation Methods Based on Probe Vehicle Information and Road Segments

机译:基于探头车辆信息和道路段的链路行程时间估计方法分析

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The link travel time estimation is currently a major issue since this value is used to find the fastest path from an origin to a destination. The probe vehicles system used to collect information about traffic is one of the most efficient methods in terms of cost and coverage. We propose new techniques to estimate link travel times using probe vehicle information and we also introduce the concept of road segments to play the role of low-pass filter. The road segments provide a means of improving the estimates by reducing the vehicles travel time spread along the link. In our simulations, we defined the accuracy of the estimates as being the difference between the link travel time estimated with the probe vehicles and the "true" link travel time. Furthermore, we considered the effect of varying the percentage of probe vehicles from 1% to 10%. The simulations show that the deviation for a probe vehicle ratio of 5% varies from 4% to 28%. Furthermore, we show that the number of vehicles and the traffic status are key factors in achieving accurate estimates.
机译:链路行程时间估计是目前一个主要问题,因为此值用于从原点到目标的最快路径。用于收集交通信息的探测器系统是成本和覆盖范围内最有效的方法之一。我们提出了使用探测车辆信息来估算链路行程时的新技术,并且我们还介绍了道路段的概念,以发挥低通滤波器的作用。道路段提供通过减少沿着链路传播的车辆行驶时间来改善估计的方法。在我们的模拟中,我们将估计的准确性定义为与探针车辆估计的链路行程时间与“真实”链路行程时间之间的差异。此外,我们认为探针车辆百分比从1%到10%的效果。模拟表明,探针频率为5%的偏差从4%变化至28%。此外,我们表明车辆数量和交通状况是实现准确估计的关键因素。

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