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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

A Study on Methods to Calculate the Coefficient of Variance in Daily Traffic According to the Change in Hourly Traffic Volume

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Author Jung-Ah Ha
ISSN 2079-8407
On Pages 835-839
Volume No. 5
Issue No. 11
Issue Date December 1, 2014
Publishing Date December 1, 2014
Keywords Traffic volume, coefficient of variance, short-term traffic count, permanent traffic count


This study was designed to investigate methods to calculate the coefficient of variance in short-term traffic count (hereafter called STC) point to examine the sample size of the STC, a sample survey of traffic volume investigation. Significance level, tolerance and coefficient of variance are needed to calculate the frequency of traffic counting. Calculating the coefficient of variance is important as the coefficient of variance varies depending upon the actual data characteristic. Since it is inevitable for the subjectivity of researchers to intervene in the sample survey, where the known coefficient of variance is used, this study sought to apply a more objective method. For an analysis, a goodness-of-fit test was performed using hourly traffic patterns of permanent traffic count (hereafter called PTC) points, and the difference between the actual coefficient of variance and the coefficient of variance estimated by the goodness-of-fit test was calculated. The analysis results showed that effort of the coefficient of variance was about 4.5%, suggesting that it is possible to be applicable. It is determined that there is a need to devise more cost-effective traffic volume research methods by reflecting traffic characteristics by month and weekday.

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