Title

Poster Abstract: WiTraffic-non-intrusive vehicle classification using WiFi

Abstract

We present WiTraffic: The first WiFi-based traffic monitor-ing system. The unique WiFi Channel State Information (CSI) patterns of passing vehicles are captured and analyzed to perform vehicle classification. We implemented WiTraf-fic with off-The-shelf WiFi devices and performed real-world experiments with over a week of field data collection. The results show that the classification accuracy is around 96%.

Publication Title

Proceedings of the 14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016

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