WiTraffic: Non-intrusive Vehicle Classification Using WiFi: Poster Abstract

@article{Zhang2016WiTrafficNV,
  title={WiTraffic: Non-intrusive Vehicle Classification Using WiFi: Poster Abstract},
  author={Shaohu Zhang and Myounggyu Won and Sang Hyuk Son},
  journal={Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems CD-ROM},
  year={2016}
}
  • Shaohu Zhang, M. Won, S. Son
  • Published 14 November 2016
  • Computer Science
  • Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems CD-ROM
We present WiTraffic: the first WiFi-based traffic monitoring system. The unique WiFi Channel State Information (CSI) patterns of passing vehicles are captured and analyzed to perform vehicle classification. We implemented WiTraffic 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%. 
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