Estimation of origin-destination trip rates in Leicester

The road system in region RA of Leicester has vehicle detectors embedded in many of the network's road links. Vehicle counts from these detectors can provide transportation researchers with a rich source of data. However, for many projects it is necessary for researchers to have an estimate of...

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Vydáno v:Applied statistics Ročník 50; číslo 4; s. 423 - 433
Hlavní autor: Hazelton, Martin L.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford, UK and Boston, USA Blackwell Publishers Ltd 2001
Blackwell Publishers
Blackwell
Royal Statistical Society
Edice:Journal of the Royal Statistical Society Series C
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ISSN:0035-9254, 1467-9876
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Shrnutí:The road system in region RA of Leicester has vehicle detectors embedded in many of the network's road links. Vehicle counts from these detectors can provide transportation researchers with a rich source of data. However, for many projects it is necessary for researchers to have an estimate of origin-to-destination vehicle flow rates. Obtaining such estimates from data observed on individual road links is a non-trivial statistical problem, made more difficult in the present context by non-negligible measurement errors in the vehicle counts collected. The paper uses road link traffic count data from April 1994 to estimate the origin-destination flow rates for region RA. A model for the error prone traffic counts is developed, but the resulting likelihood is not available in closed form. Nevertheless, it can be smoothly approximated by using Monte Carlo integration. The approximate likelihood is combined with prior information from a May 1991 survey in a Bayesian framework. The posterior is explored using the Hastings-Metropolis algorithm, since its normalizing constant is not available. Preliminary findings suggest that the data are overdispersed according to the original model. Results for a revised model indicate that a degree of overdispersion exists, but that the estimates of origin-destination flow rates are quite insensitive to the change in model specification.
Bibliografie:istex:5A559884187862840BC66C1E5865806ACAFAB5F0
ark:/67375/WNG-QDG4081N-R
ArticleID:RSSC245
ObjectType-Article-2
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ISSN:0035-9254
1467-9876
DOI:10.1111/1467-9876.00245