• DocumentCode
    3499223
  • Title

    An Analysis on Acoustic Characteristic of the Intersection Noise for Perfomance Improvement in the Accident Sound Detection System

  • Author

    Kim, Jae-Yee

  • Author_Institution
    Dept. of Inf. & Commun. Eng., Dongshin Univ., Naju
  • Volume
    2
  • fYear
    2008
  • fDate
    11-13 Nov. 2008
  • Firstpage
    842
  • Lastpage
    846
  • Abstract
    In this paper, it was performed the analysis on various intersection acoustic patterns for detection rate improvement of accident sound detection system: an acoustic pattern analysis on general traffic noise, an acoustic pattern analysis on engine noise, an acoustic pattern analysis on interfering elements in accident sound detection system.Consequently, traffic accident detection rate will be increased more about 2~3 percent than present 90 percent more or less if the result of this research will be applied to the today´s image detection system. There are remarkable differences between an acoustic pattern of traffic noise and one of accident sound, and we must consider a changeable factor when we compose an accident traffic detection system by acoustics because there is error range of 20[dB] according to the volume of traffic in intersection. Also, it is prospected that the acoustic patterns of vehicles type-related engine noise have an insignificant effect on the accident sound detection system because the numerical values of sound pressure are considerably low. Generally, the acoustic patterns of vehicles´ horn sound and special purposed- vehicles´ sirens have similar sound pressure to the one of accident acoustic patterns but their frequency wave forms are distinctive periodic type, which is quite different from one of accident sound. Consequently, traffic accident detection rate will be increased more about 2~3 percent than present 90 percent more or less if the result of this research will be applied to the today´s image detection system.
  • Keywords
    accidents; acoustic signal processing; acoustic transducers; road traffic; traffic engineering computing; accident sound detection system; acoustic characteristics; acoustic pattern analysis; detection rate improvement; engine noise; general traffic noise; intersection acoustic patterns; intersection noise; performance improvement; traffic accident detection rate; Acoustic noise; Acoustic signal detection; Acoustic waves; Engines; Frequency; Image analysis; Pattern analysis; Performance analysis; Road accidents; Vehicle detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Convergence and Hybrid Information Technology, 2008. ICCIT '08. Third International Conference on
  • Conference_Location
    Busan
  • Print_ISBN
    978-0-7695-3407-7
  • Type

    conf

  • DOI
    10.1109/ICCIT.2008.370
  • Filename
    4682350