A team of researchers at the University of Memphis has recently developed a low-cost and portable traffic monitoring system (TMS) called DeepWiTraffic. This new system, presented in a paper pre-published on arXiv, combines Wi-Fi devices and deep learning.
TMSs are a key component of intelligent transportation systems (ITS), which are aimed at improving the safety and efficiency of transportation. TMSs collect traffic data related to the performance of a roadway system, measuring parameters such as number of passing vehicles, as well as vehicle density, speed, and class.