Traffic Monitoring Using M2M Communication
  This paper presents an intelligent traffic monitoring system using wireless vision sensor network that captures and processes the real-time video image to obtain the traffic flow rate and vehicle speeds along different urban roadways. This system will display the traffic states on the front roadways that can guide the drivers to select the right way and avoid potential traffic congestions. On the other hand, it will also monitor the vehicle speeds and store the vehicle details, for those breaking the roadway speed limits, in its database. The real-time traffic data is processed by the Personal Computer (PC) at the sub roadway station and the traffic flow rate data is transmitted to the main roadway station Arduino 3G via email, where the data is extracted and traffic flow rate displayed. 
Shiu Kumar, Eun Sik Ham and Seong Ro Lee
cs.CV