Nericell: rich monitoring of road and traffic conditions using mobile smartphones
Proceedings of the 6th ACM conference on Embedded network sensor systems
SoundSense: scalable sound sensing for people-centric applications on mobile phones
Proceedings of the 7th international conference on Mobile systems, applications, and services
Proceedings of the 8th international conference on Mobile systems, applications, and services
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In this paper, we explore the efficacy of curb-side 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.