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On the estimation of temporal mileage rates

机译:关于临时里程率的估计

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摘要

Mathematical and computational techniques are developed for the analysis of annual roadworthiness (MOT) test data that the UK Department for Transport has placed in the public domain. This paper develops a new theory to estimate fine-scale temporal (e.g., monthly) variations in vehicle mileage at a population level - derived from coarse-scale (e.g., annual) mileage data at an individual vehicle level. 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. Finally, we consider first steps in applying the methods directly to the MOT data set.
机译:开发了数学和计算技术,用于分析英国运输部已将其置于公共领域的年度道路适航性(MOT)测试数据。本文开发了一种新的理论来估计人口水平上车辆里程的精细尺度时间(例如,每月)变化-从单个车辆水平上的粗糙尺度(例如,年度)里程数据得出。数字时间步长方案是从理论中推导出来的,并在合成数据上进行了测试,以便与已知的地面行驶里程率进行比较。最后,我们考虑将方法直接应用于MOT数据集的第一步。

著录项

  • 来源
    《Transportation Research》 |2013年第12期|126-139|共14页
  • 作者单位

    Transport and Mobility Modelling Group, University of Bristol, UK ,Department of Engineering Mathematics, Faculty of Engineering, University of Bristol, BRISTOL BS8 1TR, UK;

    Centre for Transport Research, University of Aberdeen, UK;

    TRL, Wokingham, Berkshire, UK ,Centre for Transport Studies, University College London, UK;

    Air Quality Management Centre, University of the West of England, UK;

    TRL, Wokingham, Berkshire, UK;

    Transport and Mobility Modelling Group, University of Bristol, UK;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Car use; Mileage rates; Mathematical methods;

    机译:汽车使用;里程率;数学方法;

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