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Modeling on Daily Traffic Volume of Local State Road Using Circular Mixture Distributions
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 Title & Authors
Modeling on Daily Traffic Volume of Local State Road Using Circular Mixture Distributions
Na, Jong-Hwa; Jang, Young-Mi;
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 Abstract
In this paper we developed a statistical model for traffic volume data which collected from a spot of specific local state road. One peculiar property of daily traffic data is that it has bimodal shape which have two peaks on times of both going to office and coming back to home. So, various mixture models of circular distribution are suggested for bimodal traffic data and EM algorithms are applied to estimate the parameters of the suggested models. To compare the accuracy of the suggested models, classical regressions with dummy variables are also considered. The suggested models for traffic volumn data can be effectively used to estimate missing values due to measuring instrument disorder.
 Keywords
Traffic volume;circular distribution;von Mises;wrapped skew-normal;EM algorithm;
 Language
Korean
 Cited by
1.
Modeling Circular Data with Uniformly Dispersed Noise,;;;

응용통계연구, 2012. vol.25. 4, pp.651-659 crossref(new window)
1.
Modeling Circular Data with Uniformly Dispersed Noise, Korean Journal of Applied Statistics, 2012, 25, 4, 651  crossref(new windwow)
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