A PREDICTION METHOD OF NON-STATIONARY ROAD TRAFFIC NOISE BASED ON FLUCTUATION PATTERNS OF AN AVERAGE NUMBER OF FLOWING VEHICLES

The actual road traffic noise which is encountered in daily life usually shows non-stationary fluctuation patterns caused by the temporal change of traffic flow. Also, statistical parameters such as the median value of the sound level, as well as the lower order statistical values of the sound energy or level, are important for noise evaluation and regulation problems. In this paper, a statistical theory for the probability density function (pdf) of non-stationary noise level fluctuation is proposed in a case where the road traffic flow is controlled by traffic signals, by paying special attention to the periodicity of fluctuation patterns of the statistics of the noise level and the number of flowing vehicles. A new practical trial of the statistical prediction for the pdf of non-stationary road traffic noise is also considered. The experimental results of applying this in a trial to the actual noise data are in full agreement with the theory. (TRRL)

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/0003682X
• Corporate Authors:

  Elsevier Science Publishers

  Crown House, Linton Road
  Barking, Essex IG11 8JU,   England 
• Authors:
  • Yamaguchi, S
  • KATO, Y
• Publication Date: 1989

Media Info

• Features: References;
• Pagination: p. 103-118
• Serial:
  • Applied Acoustics
  • Volume: 27
  • Issue Number: 2
  • Publisher: Elsevier
  • ISSN: 0003-682X
  • Serial URL: http://www.sciencedirect.com/science/journal/0003682X

Subject/Index Terms

• TRT Terms: Evaluation; Forecasting; Mathematical models; Motion; Moving industry; Probability; Sound level; Traffic; Traffic counts; Traffic flow; Traffic noise; Variables
• ITRD Terms: 9020: Evaluation (assessment); 132: Forecast; 6473: Mathematical model; 9050: Moving; 6534: Probability; 6747: Sound level; 755: Traffic; 689: Traffic count; 671: Traffic flow; 9086: Variability
• Subject Areas: Data and Information Technology; Freight Transportation; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 00491729
• Record Type: Publication
• Source Agency: Transport Research Laboratory
• Files: ITRD, TRIS
• Created Date: Mar 31 1990 12:00AM