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Estimating Road Design Hourly Volume via Inflection Point Identification

변곡점 탐색을 통한 도로설계시간계수 산정

  • 안성채 (아주대학교 건설교통공학과) ;
  • 최기주 (아주대학교 교통시스템공학과) ;
  • 김부원 ((주)지비티에스 엔지니어링)
  • 투고 : 2013.03.05
  • 심사 : 2013.07.29
  • 발행 : 2013.11.30

초록

Design hourly volume and the K-factor, first proposed by FHWA in the 1950s, is based on the 30th hourly traffic volume during a year (out of 8,760 hours). It was used when surveying the traffic volume was laborious in the past and is still being used now although it leaves some to be desired for practical applications. More reasonable K-factor for better design, based on theoretical evidence, is needed. This paper proposes the knee searching method based on simple linear regression to find out the inflection point of the volume ranking curve that describe the annual 8,760 hourly traffic volumes. The method was applied to the Chungcheong province's national highway, and the results were compared to the existing guidelines' values of K-factors. Identified design hourly traffic volumes ranked between 43rd to 694th, which is much lower than the 30th volume, meaning that some overdesign examples are inevitable if the conventional $30^{th}$ volume is used.

설계시간계수는 1950년대 FHWA에서 최초로 제안하였던 개념으로 1년(8,760시간) 중 상위 30번째 순위의 시간교통량을 기반으로 한다. 과거, 모든 시간대의 교통량 조사가 힘들었던 시기에 사용되었던 방식으로 다소의 문제점에도 불구하고 현재까지 사용되고 있다. 합리적인 설계를 위해서는 이론적 근거에 바탕을 둔 설계시간계수 도출이 필요하다. 본 연구는 현재까지 고수되고 있는 30번째 순위가 과연 옳은 것인가에 중점을 두고 있으며, 이를 해결하기 위해 8,760 시간교통량 순위곡선에서 변곡점을 탐색할 수 있는 기법을 제안하였다. 그리고 충청권 일반국도를 대상으로 제안 방법론을 적용하여 분석대상지점의 설계시간계수를 산정하였으며, 기존 지침의 내용과 비교하였다. 설계시간순위는 43~694순위로 일반적으로 사용되는 30순위보다 모두 하위 순위에서 발생되고 있었던바, 30순위 교통량을 사용할 경우 약간의 과다설계가 이루어 질수 있음이 확인되었다.

키워드

참고문헌

  1. AASHTO (2004). A policy on geometric design of highways and streets, AASHTO.
  2. Bae, H. J. (1999). A derivation of the hourly traffic volume curves for estimating the K-factor on highways, Master's Thesis, Hanyang University, Seoul, Korea (in Korean).
  3. Baek, S. K., Kim, B. J., Lee, J. H. and Son, Y. T. (2007). "Design hourly factor estimation with vehicle detection system." Journal of Korean Society of Transportation, Korean Society of Transportation, Vol. 25, No. 6, pp. 79-88 (in Korean).
  4. Bailey, M. J. (1981). "Estimation of design hour volume." ITE Journal, Vol. 51, Issue. 8, pp. 50-56.
  5. Byrne, B. (1993). Revised method for estimating design hourly volumes in vermont, Transportation Research Record, No. 1993.
  6. Cho, J. H., Han, J. H., Kim, S. H. and Lee, B. S. (2006). "The selection of optimal probability distribution and estimation for design hourly factor in national highway roads." Journal of Korean Society of Transportation, Korean Society of Transportation, Vol. 24, No. 6, pp. 33-43 (in Korean).
  7. Harmelink, M. D. (1968). Estimation of annual average daily traffic and thirtieth highest hourly volume, Department of Highways Ontario, Report No. 140.
  8. Heibl, J. J. (1965). A method for estimating design hourly traffic volumes, Highway Research Record, No. 72, pp. 88-100.
  9. Hempsey, L. J. and Teply, S. (1999). "Redesigning the design hour for alberta highways." ITE Journal, Vol. 69, Issue. 5, pp. 43-48.
  10. Kim, J. H. (2000). The derivation of design hourly factor (k) using volume distribution curves, Master's Thesis, Hanyang University, Seoul, Korea (in Korean).
  11. Lee, Y. K. (2001). A derivation of the hourly traffic volume curves for estimating the K-factor on national roadways, Master's Thesis, Hanyang University, Seoul, Korea (in Korean).
  12. Lim, S. H., Kim, Y. S., Byun, S. C. and Oh, J. S. (2006). "Estimation of design hourly factor using AADT of national highway roads." Journal of the Korean Society of Civil Engineers, Korean Society of Civil Engineers, Vol. 23, No. 1D, pp. 19-26 (in Korean).
  13. Liu, Z. and Sharma, S. C. (2006). Predicting directional design hourly volume from statutory holiday traffic, Transportation Research Record, Issue. 1968, pp. 30-39.
  14. Ministry of Construction and Transportation (2000). Rules bout the Road Structure and Facilities Standards (in Korean).
  15. Ministry of Construction and Transportation (2001). Korea highway capacity manual (in Korean).
  16. Moon, M. K., Jang, M. S. and Kang, J. S. (2003). "A study on improvement of the DDHV estimating method." Journal of Korean Society of Transportation, Korean Society of Transportation, Vol. 21, No. 5, pp. 61-71 (in Korean).
  17. Moon, M. K., Jang, M. S. and Kang, J. S. (2004). "Determination of design hour rank considering design level of service." Journal of Korean Society of Transportation, Vol. 22, No. 2, pp. 55-63 (in Korean).
  18. Schoon, J. G. (2000). Geometric design projects for highways: An Introduction (Second Edition), ASCE Press.
  19. Sharma, S. C. and Oh, J. Y. (1988). "Prediction of design hour volume as a function of amount and nature of travel." ITE Journal, Volume. 58, Issue. 2, pp. 19-24.
  20. Sharma, S. C. and Oh, J. Y. (1990). "Prediction of design volume from highest hours of monthly traffic flow." ITE Journal, Volume. 60, Issue. 9, pp. 25-31.
  21. Sharma, S. C. and Singh, A. K. (1992). "Reexamination of directional distribution of highway traffic." Journal of Transportation Engineering, Volume. 118, pp. 323-337. https://doi.org/10.1061/(ASCE)0733-947X(1992)118:2(323)
  22. Sharma, S. C., Oh, J. Y. and Wyatt, J. J. (1987). "Estimation of design hourly volume from seasonal traffic counts." Canadian Journal of Civil Engineering, Volume. 14, pp. 728-731. https://doi.org/10.1139/l87-110
  23. Sharma, S. C., Wu, Y. and Rizak, S. N. (1995). "Determination of DDHV from directional traffic flows." Journal of Transportation Engineering, Volume. 121, Issue. 4, pp. 369-375. https://doi.org/10.1061/(ASCE)0733-947X(1995)121:4(369)
  24. Transportation Research Board (1985). Highway capacity manual.
  25. Transportation Research Board (2000). Highway capacity manual.
  26. Transportation Research Board (2010). Highway capacity manual.
  27. Wu, Y. (1994). Estimation of directional design hour volume: Some important consideration, M. Sc. Dissertation, University of Regina, Canada.

피인용 문헌

  1. Design Hourly Factor Estimation with Railway Passenger Data vol.16, pp.1, 2017, https://doi.org/10.12815/kits.2017.16.1.64