DeepWiTraffic: A Wi-Fi based traffic monitoring system using deep learning

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. In the United States, the Department of Transportation (DOT) in every state is tasked with collecting traffic information about vehicles traveling across highways and roads.