The objectives of the study were to review and modify previously used Equivalent Single Axleload (ESAL) prediction procedures and to develop a more efficient procedure. As part of the effort to simplify the procedure, a subtask was undertaken to reduce the number of highway functional classes being used to process data for the ESAL estimation procedure. Another objective was to develop a more definitive and accurate method for reflecting the effects of coal or heavy truck movements. Analyses were performed and validated to reduce the 12 functional classes to 6 aggregate categories. The overall ESAL estimating process, which was previously accomplished using mainframe computer programs, was converted to microcomputer/PC programs and documented in detail. A procedure for processing ESAL data by aggregate classes was documented and example output was presented. An analysis was performed to determine the reliability of traffic parameter estimates used in the ESAL estimating process. Results were produced to identify the number of volume, classification and weigh-in-motion stations required to adequately define the traffic characteristics of a specific functionaal or agggregate class.

  • Record URL:
  • Supplemental Notes:
    • Color illustrations reproduced in black and white. Sponsored by Kentucky Transportation Cabinet, Frankfort, and Federal Highway Administration, Kentucky Div.
  • Corporate Authors:

    University of Kentucky, Lexington

    Kentucky Transportation Center
    College of Engineering, 176 Raymond Building
    Lexington, KY  United States  40506-0281
  • Authors:
    • Pigman, J G
    • Allen, D L
    • Harison, J
    • Tollner, N
    • Cain, D H
  • Publication Date: 1995-12


  • English

Media Info

  • Pagination: 110 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00730636
  • Record Type: Publication
  • Report/Paper Numbers: KTC-95-7
  • Files: TRIS
  • Created Date: Feb 3 1997 12:00AM