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Accuracy of distancea??based travel time decomposition in probe vehicle systems

机译:探测车辆系统中基于距离的行驶时间分解的精度

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Probe vehicle data (PVD) are commonly used for areaa??wide measurements of travel time in road networks. In this context, travel times usually refer to fixed edges of an underlying (digital) map. That means measured travel times have to be transformed into soa??called link travel times first. This paper analyzes a common method being applied for solving this task (distancea??based travel time decomposition). It is shown that, in general, its inherent imprecision must not be neglected. Instead, it might cause a serious misinterpretation of data if potential errors in the context of travel time decomposition are ignored. For this purpose, systematic as well as maximum deviations between a??decomposeda?? and a??truea?? link travel times are mathematically analyzed. By that, divergent statements in the literature about the accuracy of PVD are harmonized. Moreover, conditions for the applicability of the soa??called distancea??proportion method are derived depending on the permitted error level. Three examples ranging from pure theory to real world confirm the analytical findings and underline the problems resulting from distancea??based travel time decomposition at local level, for example, at individual intersections. Copyright ?? 2013 John Wiley & Sons, Ltd.
机译:探测车辆数据(PVD)通常用于道路网络中行进时间的区域性测量。在这种情况下,行驶时间通常是指基础(数字)地图的固定边缘。这意味着必须将测得的行程时间转换为所谓的链接行程时间。本文分析了一种用于解决此问题的常用方法(基于距离的行进时间分解)。结果表明,总的来说,其固有的不精确性不能忽略。相反,如果忽略了行程时间分解中的潜在错误,则可能导致严重的数据误解。为此目的,“分解的”Δθ之间的系统的和最大的偏离。和一个?对链接旅行时间进行数学分析。这样一来,文献中关于PVD准确性的不同说法就可以协调一致。而且,根据允许的误差水平,推导了所谓的距离αα比例法的适用条件。从纯理论到现实世界的三个例子证实了分析结果,并强调了基于距离的旅行时间分解在局部水平上,例如在各个交叉点上所引起的问题。版权?? 2013 John Wiley&Sons,Ltd.

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