ASSESSMENT OF THE APPLICATION OF AUTOMATIC VEHICLE IDENTIFICATION TECHNOLOGY TO TRAFFIC MANAGEMENT

This report documents a study of the feasibility of using automatic vehicle identification (AVI) technology and automatic vehicle monitoring (AVM) technology for purposes of traffic management. Several traffic management strategies for which AVI or AVM may potentially be useful are examined in detail: congestion pricing, traffic restraint, truck restrictions, preferential lane usage, corridor control, and traffic signal control. For each application, the relative costs and effectiveness of AVI or AVM as opposed to the best non-AVI method are compared. General conclusions on the applicability of AVI and AVM to traffic management are presented. /FHWA/

• Supplemental Notes:
  • See also: Appendix B, HS-021 605 and Appendix C, HS-021 606.
• Corporate Authors:

  Peat, Marwick, Mitchell and Company

  1025 Connecticut Avenue, NW
  Washington, DC  United States  20036

  Peat, Marwick and Partners

  P.O. Box 31, Commerce Court West
  Toronto, ONo M5L 1B2,   Canada 

  Casciato, White and Associates

  725 Markham
  Toronto, ONo,   Canada 
• Authors:
  • Ferlis, R A
  • Aaron, R
• Publication Date: 1977-7

Media Info

• Features: References;
• Pagination: 45 p.

Subject/Index Terms

• TRT Terms: Automatic vehicle identification; Automatic vehicle monitoring; Cost effectiveness; Feasibility analysis; High occupancy vehicle lanes; Highway traffic control; Prices; Progressive traffic signal control; Traffic congestion; Traffic lanes; Traffic restraint; Traffic signal controllers
• Uncontrolled Terms: Congestion
• Old TRIS Terms: Reserved lanes
• Subject Areas: Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 00179498
• Record Type: Publication
• Source Agency: Federal Highway Administration
• Report/Paper Numbers: FHWA-RD-77- 87
• Contract Numbers: DOT-FH-11-9198
• Files: TRIS, USDOT
• Created Date: Aug 27 1990 12:00AM