00935380

Component

https://doi.org/10.3141/1804-13

http://scholar.google.com...dden&publication_year=2002

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.

This paper appears in Transportation Research Record No. 1804, Transportation Data and Information Technology Research.

English

p. 91-97

2002

Transportation Research Record

0309077303

Figures (11) ; References (6) ; Tables (1)

Case studies; Confidence intervals; Data collection; Monte Carlo method; Sampling; Simulation; Traffic counts; Traffic data; Traffic volume; Weibull distributions

Cumulative probability function

Highways; Planning and Forecasting; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Dec 10 2003 12:00AM

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