Two objectives are addressed in this study: (1) to develop a practical technique for estimating the patterns of cumulative traffic loading in each lane of multilane highways, and (2) to define representative frequency distributions of truck wheel placement within highway traffic lanes. The feasibility of a portable vehicle classifier instrument with lanewise classifying capabilities was demonstrated. Sensors for the classifier consist of an inductance loop detector and a pair of newly-designed axle detectors which utilize an array of inexpensive piezoelectric elements. A procedure for combining vehicle classification information with axle weight frequency data for various classes of vehicle classification information with axle weight frequency data for various classes of vehicles, as determined by in-motion weighing techniques, to estimate cumulative traffic loading on multilane highways is presented. Frequency distributions of truck wheel placements for single-unit and tractor-trailer trucks as well as for straight and curved roadway sections are presented. These data were determined by video taping the rear view of trucks traveling in the normal traffic stream from a chase vehicle. (Author)

  • Corporate Authors:

    University of Texas, Austin

    Center for Transportation Research, 3208 Red River Street
    Austin, TX  United States  78705

    Texas State Department of Highways & Public Transportation

    Transportation Planning Division, P.O. Box 5051
    Austin, TX  United States  78763

    Federal Highway Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Authors:
    • Lee, C E
    • Shankar, P R
    • Izadmehr, B
  • Publication Date: 1983-11

Media Info

  • Features: Appendices; Figures; References; Tables;
  • Pagination: 146 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00389043
  • Record Type: Publication
  • Report/Paper Numbers: FHWA-TX|84-33+310-1FFinal Rpt.
  • Contract Numbers: Res Study 3-8-81-310
  • Created Date: Oct 30 1984 12:00AM