A passive traffic monitoring technique is devised which uses two omnidirectional microphones to detect and localize the acoustic pattern of road vehicles. This method uses the cross-power spectrum phase version of the generalized cross correlation algorithm for time delay estimation to emphasise passing concentrated wideband sound sources. Key traffic flow data such as vehicle location, speed and density are extracted by means of creative pattern recognition including directional filtering, that exploits the acoustical correlation signature of a passing vehicle. Experiments are based on real traffic data in typical conditions. Compared to existing traffic sensors this technique is economically advantageous and non-intrusive.
Authors:
Duffner, Orla; Marlow, Sean; Murphy, Noel; O'Connor, Noel; Smeanton, Alan
Affiliation:
Dublin City University
AES Convention:
118 (May 2005)
Paper Number:
6355
Publication Date:
May 1, 2005
Subject:
Digital Audio Techniques
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