METHODS OF AUTOMATIC VEHICLE CLASSIFICATION

Recent developments in microprocessor and traffic sensor technology have for the first time made several forms of automatic vehicle classification practicable for traffic data collection purposes. This paper describes techniques of classification by lane, speed, type and weight. Classified traffic counts are commonly required for highway planning and traffic management purposes, and should perhaps form more of an input to the planning and management of highway maintenance programmes. Weight data could also play an important part in highway maintenance management. Lane and speed classification have more specialised applications in traffic planning and the monitoring of enforcement measures. A new range of opportunities is now available in the field of traffic monitoring for the extension of routine data collection activities to cover a much broader field. Classified traffic counts and weight data can now be obtained over representative periods at relatively low costs. For the cov4ring abstract of the symposium see TRIS 396069. (TRRL)

  • Supplemental Notes:
    • This paper is from the Proceedings of the Symposium on Highway Maintenance and Data Collection July 13-14, 1983, Nottingham University, England. Volume 1 Papers. Volume 2 Discussions.
  • Corporate Authors:

    Nottingham University, England

    Department of Civil Engineering
    Nottingham NG9 3FQ,   England 
  • Authors:
    • OLIVER, J
  • Publication Date: 1983

Media Info

  • Pagination: 6 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00396084
  • Record Type: Publication
  • Source Agency: Transport Research Laboratory
  • Files: ITRD, TRIS
  • Created Date: Nov 30 1985 12:00AM