Road traffic estimation using in-situ acoustic sensing

Abstract-- In this paper, we explore the efficacy of curbside acoustic sensing to estimate road traffic conditions. We formulated a set of hypotheses which attempted to correlate traffic conditions with the ambient traffic noise. We present the evaluation of our hypotheses under various traffic conditions. Our threshold-based-classification yields 70-90% accuracy in distinguishing congested from free-flowing traffic. Categories and Subject Descriptors: C.3 [Special-Purpose and Application-Based Systems] : Signal processing systems General Terms: Design, Experimentation, Verification

• Type: Conference
• Year: 2010
• Where: SIGCOMM
• Authors: C. Viven Rajendra, Purushottam Kulkarni
• Keywords: Ambient Traffic Noise, Communications, Road Traffic Conditions, SIGCOMM 2010, Traffic Conditions