On the estimation of temporal mileage rates

R. E. Wilson; J. Anable; S. Cairns; T. Chatterton; S. Notley; J.D. Lees-Miller

doi:10.1016/j.tre.2013.06.004

On the estimation of temporal mileage rates

R. E. Wilson, J. Anable, S. Cairns, T. Chatterton, S. Notley, J.D. Lees-Miller

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Abstract

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.

Original language	English
Pages (from-to)	126-139
Number of pages	14
Journal	Transportation Research Part E: Logistics and Transportation Review
Volume	60
Early online date	30 Aug 2013
DOIs	https://doi.org/10.1016/j.tre.2013.06.004
Publication status	Published - Dec 2013

Keywords

Car Use
Mileage Rates
Mathematical Models
Mathematical methods

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10.1016/j.tre.2013.06.004

REWilsonISTTT20_submitted
NOTICE: this is the author’s version of a work that was accepted for publication in Transportation Research Part E: Logistics and Transportation Review. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Transportation Research Part E: Logistics and Transportation Review, VOL 60, (2013) DOI: 10.1016/j.tre.2013.06.004
Accepted author manuscript, 309 KB

Cite this

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title = "On the estimation of temporal mileage rates",

abstract = "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.",

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AU - Wilson, R. E.

AU - Anable, J.

AU - Cairns, S.

AU - Chatterton, T.

AU - Notley, S.

AU - Lees-Miller, J.D.

PY - 2013/12

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AB - 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.

KW - Car Use

KW - Mileage Rates

KW - Mathematical Models

KW - Mathematical methods

U2 - 10.1016/j.tre.2013.06.004

DO - 10.1016/j.tre.2013.06.004

M3 - Article

SN - 1366-5545

VL - 60

SP - 126

EP - 139

JO - Transportation Research Part E: Logistics and Transportation Review

JF - Transportation Research Part E: Logistics and Transportation Review

ER -

On the estimation of temporal mileage rates

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Keywords

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