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

Authors

Shaohu Zhang, South Dakota State UniversityFollow
Myounggyu Won, South Dakota State University
Sang H. Son, Daegu Gyeongbuk Institute of Science and Technology

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

Recommended Citation

Zhang, S., Won, M., & Son, S. (2016). Poster Abstract: WiTraffic-non-intrusive vehicle classification using WiFi. Proceedings of the 14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016, 358-359. https://doi.org/10.1145/2994551.2996705