WEIGH-IN-MOTION SYSTEM USING INSTRUMENTED BRIDGES

Acquisition of truck axle and gross weight information is necessary for structural and maintenance requirements of bridges and pavements. A system is described combining traffic sensors and strain gages on highway bridge girders to obtain axle and gross weights. A weight prediction algorithm is derived herein that filters out the dynamic components of bridge response and obtains the equivalent static axle weights by a least-square error minimization. It utilizes self-balancing signal conditioners, magnetic tape switches, analog-digital converters, and a minicomputer to record field data on magnetic tape. Output is subsequently obtained on a digital computer. The system showed predictions of gross truck weight and tandem axles consistent with calibration trucks and random traffic. The paper also describes modifications of the system that would allow its routine use in obtaining weigh-in-motion truck data and would also permit weight processing in the field.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/8674831
• Corporate Authors:

  American Society of Civil Engineers

  345 East 47th Street
  New York, NY  United States  10017-2398
• Authors:
  • Moses, F
• Publication Date: 1979-5

Media Info

• Features: References;
• Pagination: p. 233-249
• Serial:
  • Journal of Transportation Engineering
  • Volume: 105
  • Issue Number: 3
  • Publisher: American Society of Civil Engineers
  • ISSN: 0733-947X
  • Serial URL: https://ascelibrary.org/journal/jtepbs

Subject/Index Terms

• TRT Terms: Algorithms; Highway bridges; Highways; Load limits; Mathematical models; Measuring instruments; Sensors; Strain gages; Traffic loads; Trucking; Trucks; Trucks by weight; Weight
• Old TRIS Terms: Highway systems
• Subject Areas: Freight Transportation; Highways; Motor Carriers; Operations and Traffic Management;

Filing Info

• Accession Number: 00196320
• Record Type: Publication
• Source Agency: Engineering Index
• Files: TRIS
• Created Date: Sep 15 1979 12:00AM