Monte Carlo simulation in sampling techniques of traffic data collection.

Auteur(s)
Williamson, D.G. Yao, M. & McFadden, J.
Jaar
Samenvatting

Traffic volume counts are used in transportation planning, design, operation, and safety analyses. A new methodology establishes a statistical basis for comparing traffic volumes generated from different samples. Monte Carlo simulation was used to generate a cumulative probability function (CPF) of traffic volumes based on the fit-of-Weibull probability distribution to a particular traffic sample. A 90% confidence interval of the traffic volumes from a given traffic sample was obtained from the CPF and was used to compare different traffic samples. A case study was performed by using this methodology to determine if shorter time-frame data may be used to represent longer-time traffic. Results from the case study show that traffic at 20-min intervals may be used to represent 1-h traffic when moderate to high traffic volumes are considered. It was observed that subsamples failed to represent the 1-h traffic data for lower traffic volumes of selected vehicle types.

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Publicatie

Bibliotheeknummer
C 29363 (In: C 29350 S [electronic version only]) /72 / ITRD E821776
Uitgave

In: Transportation data and information technology research, Transportation Research Record TRR 1804, p. 91-97, 6 ref.

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