THE EFFECT OF SKEWNESS AND STANDARD DEVIATION ON SAMPLING ERRORS FOR TRAFFIC NOISE

An empirical investigation of the influence of standard deviation and skewness of traffic noise climates upon the errors introduced into seven statistical noise descriptors by different digital sampling rates is reported. A total of 432 hours of digitally recorded traffic noise, representing a wide range of traffic flow conditions, was used in the study, the digital sampling being simulated by appropriate deletion of data during the computation of the statistical descriptors. The errors due to sampling were obtained by comparing the 'sampled' descriptors with the equivalent descriptors calculated from the original digital recordings without data deletion. The results presented show that the errors due to sampling are more strongly influenced by skewness than by standard deviation and that the effect of skewness increases with decreasing sampling ratio. For the special case where the skewness is zero, the measured effects of standard deviation are found to partially agree with results from an analytical approach.(a) (TRRL)

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  • Corporate Authors:

    Elsevier Publishing Company, Limited

    Rippleside Commercial Estate, Ripple Road
    Barking, Essex,   England 
  • Authors:
    • BRADLEY, J S
    • Vaskor, J G
    • Dickinson, S M
  • Publication Date: 1979-9

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Filing Info

  • Accession Number: 00316898
  • Record Type: Publication
  • Source Agency: Transport Research Laboratory
  • Files: ITRD, TRIS
  • Created Date: Dec 30 1980 12:00AM