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http://dx.doi.org/10.22680/kasa2020.12.4.070

Traffic Accident Analysis using Doppler Effect of the Horn  

Choi, Youngsoo (대전과학수사연구소 이공학과)
Kim, Jonghyuk (국립과학수사연구원 교통과)
Yun, Yongmun (대전과학수사연구소 이공학과)
Park, Jongchan (대전과학수사연구소)
Park, Hasun (국립과학수사연구원 교통과)
Publication Information
Journal of Auto-vehicle Safety Association / v.12, no.4, 2020 , pp. 70-77 More about this Journal
Abstract
In this study, we estimate the vehicle speed by analyzing the acoustic data recorded in a single microphone of a surveillance camera. The frequency analysis of the acoustic data corrects the Doppler effect, which is a characteristic of the moving sound source, and reflects the geometric relationship according to the location of the sound source and the microphone on the two-dimensional plane. The acoustic data is selected from the horn sound that is mainly observed in an urgent situation among various sound sources that may occur in a traffic accident, and the characteristics of the monotone source are considered. We verified the reliability of the proposed method by time domain acoustic analysis and actual vehicle evaluation. This method is effective and can be used for traffic accident analysis in the blind spot of the camera using a single microphone built into the existing surveillance camera.
Keywords
Doppler effect; Horn; Traffic accident; Velocity;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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