Basics and challenges in acoustic vehicle sensing using sidewalk microphones

Shigemi Ishida, Shigeaki Tagashira, Akira Fukuda

Research output: Chapter in Book/Report/Conference proceedingChapter


Vehicle detection is one of the fundamental tasks in the ITS (intelligent transportation system). Although automatic vehicle sensors have already been deployed to retrieve real-time traffic data, these sensors suffer from high deployment costs, resulting in limited deployment at high traffic roads. This paper presents a new approach of vehicle sensing using sidewalk microphones. We install stereo microphones at one side of a road and draw a sound map, i.e., a time-difference map of vehicle sound on the two microphones. A state-machine based algorithm analyzes vehicle passing drawn a sound map to detect vehicles. A simple image processing technique is applied to a sound map prior to analysis to reduce false negative detections. Experimental evaluations demonstrated that our vehicle sensing system successfully detected vehicles with an F-measure of 0.92. This paper also presents big challenges we are facing to extend our system to multi-lane high traffic roads.

Original languageEnglish
Title of host publicationSmart Sensors and Systems
Subtitle of host publicationTechnology Advancement and Application Demonstrations
PublisherSpringer International Publishing
Number of pages14
ISBN (Electronic)9783030422349
ISBN (Print)9783030422332
Publication statusPublished - Jan 1 2020

All Science Journal Classification (ASJC) codes

  • General Engineering


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