On the estimation of temporal mileage rates
On the estimation of temporal mileage rates
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关于时间里程率的估计
DOI：
10.1016/j.tre.2013.06.004
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Wilson R
中科院分区：
文献类型：
--
作者：
Wilson R
数学和计算技术的开发用于分析年度MOT（路用性）测试数据，英国交通部已放置在公共领域。本文着重于发展一种新的理论，该理论有可能估计细尺度的时间变化（例如，每月）在人口水平上的车辆里程，我们称之为斑点率-从粗尺度（例如，年度）里程数据。由于数据的可用性，重点是英国的情况，但该理论适用于国际上的任何数据集，其中个别车辆的里程表读数偶尔被监测。数值时间步进计划来自理论和合成数据进行测试，允许与已知的地面真实里程率进行比较。结果发现，对于实际的适用性，该方法需要预处理数据与平滑滤波器（全面调查，这是超出了本文的范围）。最后，我们考虑的第一个步骤，直接应用的方法MOT数据集和剩余的问题，必须解决他们成为现实。
Mathematical and computational techniques are developed for the analysis of annual MOT (roadworthiness) test data that the UK Department for Transport has placed in the public domain. This paper focusses on the development of a new theory which has the potential to estimate fine-scale temporal variations (e.g., monthly) in vehicle mileage at a population level, that we call thespot rate— derived from coarse-scale (e.g., annual) mileage data at an individual vehicle level. Due to the availability of data, the focus is on the UK situation, but the theory has applications to any data set internationally, where odometer readings of individual vehicles are monitored on an occasional basis. Numerical time-stepping schemes are derived from the theory and are tested on synthetic data to permit comparison with a known ground-truth mileage rate. It is found that for practical applicability, the methods need to pre-process data with smoothing filters (a full investigation of which is beyond the scope of this paper). Finally, we consider first steps in applying the methods directly to the MOT data set and the remaining problems that must be solved for them to become a practical reality.
从 MOT 数据推断里程率的技术
影响因子：
1.6
作者：
Wilson R
通讯作者：
Wilson R