Supplemental Guidance on the Application of FHWA's Traffic Noise Model (TNM)

The objective of this research was to supplement existing guidance on applying the Traffic Noise Model (TNM) by identifying best practices to accurately, consistently, and efficiently model (1) structure reflected noise; (2) bridge expansion joints; (3) signalized interchanges; (4) intersections; (5) area sources, e.g., weigh stations, park and ride lots, toll facilities, and service plazas; (6) median barriers; and (7) roundabouts. This research will determine the sensitivity and accuracy of methods to model (1) multi-lane highways, (2) rows of buildings, (3) topography, (4) ground zones, and (5) tree zones, and identify best practices for input parameters. This research also synthesizes the state of practice for analyzing the effects of (1) wind direction and (2) temperature inversion on sound propagation. This research project's results are intended for use by experienced analysts, modelers, and designers.


  • English


  • Status: Completed
  • Funding: $450000.00
  • Contract Numbers:

    Project 25-34

  • Sponsor Organizations:

    Federal Highway Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590

    American Association of State Highway & Transportation Officials (AASHTO)

    444 North Capitol Street, NW, Suite 225
    Washington, DC  United States  20001

    National Cooperative Highway Research Program

    Transportation Research Board
    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Performing Organizations:

    Harris Miller Miller & Hanson, Incorporated

  • Principal Investigators:

    Menge, Christopher

  • Start Date: 20110325
  • Expected Completion Date: 0
  • Actual Completion Date: 20140930
  • Source Data: RiP Project 37950

Subject/Index Terms

Filing Info

  • Accession Number: 01545892
  • Record Type: Research project
  • Source Agency: Transportation Research Board
  • Contract Numbers: Project 25-34
  • Files: TRB, RiP
  • Created Date: Nov 27 2014 1:00AM