A Comparison of Short Duration Traffic Counts Methodologies for Estimating Annual Average Daily Traffic

Abstract:

Annual average daily traffic (AADT) serves the important basic data in transportation sector. Future level of service is forecasted, based on design traffic volume. AADT is used as design traffic which is the basic traffic volume in transportation plan. But AADT is estimated using short duration traffic counts at most sites because permanent traffic counts are installed at limited sites. A various of methodologis about short duration traffic counts are used to estimate AADT. This study compared with typical short duration traffic counts methodologies in USA and Korea. Short duration traffic counts in USA typically are defined as stations where 24-hour, 48-hour of data is collected. In Korea, short duration traffic counts are collected at one day (24-hour) or two days (not two consecutive days). So this study compared among each short duration traffic counts methodology: one day (24-hour), two consecutive days (48-hour), not two consecutive days (twice per year). Short duration traffic counts surveyed twice per year is the best method to reduce AADT estimation error among analyzed methodologies. The analysis found that in case adjustment factor is applied to estimate AADT, AADT estimation error is further lowered.

• Periodical: Applied Mechanics and Materials (Volume 607)
• Pages: 657-663
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.607.657
• Online since: July 2014
• Authors: Jung Ah Ha*
• Keywords: Annual Average Daily Traffic, Permanent Traffic Count, Short Duration Traffic Counts, Traffic Monitoring System, Traffic Volume Survey

References

[1] S.H. Lim, T.W. Kim, Traffic monitoring system in korea, International Conference of Eastern Asia Society for Transportation studies, (2013).

[2] J.A. Ha, S.H. Lim, J.S. Oh, H.S. Kim, The optimal number of traffic volume counting times, The proceeding of Korean Society of Civil Engineers, pp.2928-2933, (2004).

[3] J.A. Ha, S.H. Lee, Optimal sampling method of estimating AADT in coverage survey, The proceeding of Korean Society of Civil Engineers, pp.1788-1792, (2010).

[4] J.H. Jang, J.A. Ha, J.S. Oh, H.S. Kim, Precision level on traffic counting period by coefficient of variation group of monthly factor, The proceeding of Korean Society of Civil Engineers, pp.61-66, (2003).

[5] FHWA, Traffic Monitoring Guide, (2013).

[6] S.H. Lim, J. S. Oh, A Study on Deriving of Adjustment Factor to Estimate AADT, Journal of Korea Society of Civil Engineers, Vol. 24. 1D, pp.19-29, (2004).

[7] Sam Granato, The impact of factoring traffic counts for daily and monthly variation in reducing sampling counting error, Transportation Conference Proceedings, (1998).

[8] MOLIT, Statistical Yearbook of Traffic Volume, (2012).

[9] S. Sharma et al, Statewide traffic volume studies and precision of AADT estimates, ASCE Journal of Transportation Engineering, Vol. 122, (1996).

DOI: 10.1061/(asce)0733-947x(1996)122:6(430)

[10] Information on http: /www. road. re. kr.