• DocumentCode
    1634041
  • Title

    Development of systematic procedure for the analysis of heavy truck traffic data

  • Author

    Yao, Quan-Yang ; Li, Win G. ; Najafi, Fazil T.

  • Author_Institution
    Dept. of Civil Eng., Florida Univ., Gainesville, FL, USA
  • fYear
    1995
  • Firstpage
    549
  • Lastpage
    552
  • Abstract
    The 18 kip equivalent single axle loading (ESAL) process has been taken to develop the expected ESALs for the life of highway projects. The Florida Standard Urban Transportation Molding Structure (FSUTMS) does not forecast heavy truck traffic. The development of systematic truck forecasting model has not been received yet. In the absence of a departmental truck forecasting model, future truck traffic is based on the present day truck classification. The percentage of truck traffic is assumed to hold the same relationship to annual average daily traffic. For the purpose of pavement structural design, it is necessary to estimate the cumulative number of 18 kip ESALs for the design period. Since truck volume and damage factors are needed to calculate ESALs, estimating the frequency and predicting the trend of future heavy truck traffic is significant. The paper presents a systematic procedure for the classification and analysis of heavy truck traffic data and an attempt of developing a systematic truck traffic forecasting model
  • Keywords
    Axles; Bridges; Civil engineering; Data analysis; Predictive models; Road transportation; State estimation; Traffic control; US Department of Transportation; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Uncertainty Modeling and Analysis, 1995, and Annual Conference of the North American Fuzzy Information Processing Society. Proceedings of ISUMA - NAFIPS '95., Third International Symposium on
  • Conference_Location
    College Park, MD
  • Print_ISBN
    0-8186-7126-2
  • Type

    conf

  • DOI
    10.1109/ISUMA.1995.527754
  • Filename
    527754