Development of IoT device for traffic management system

Traffic congestion is a major issue that happens across urban cities around the world. In 2015, annual economic losses of Malaysia caused by traffic congestion is estimated about RM20 billion. Fixed cycle traffic light system (TLS) is first introduced on road intersection to solve traffic congestion. However, fixed cycle TLS in unable to cope with dramatically increase of registered vehicles. In this paper, development of Internet of Things (IoT) device for traffic management system is proposed. An Intel Edison collects real-time traffic flow and communicate with Microsoft Azure IoT cloud server. The cloud server assign priorities to each road bound based on their current traffic volume. Green light phase time (GLPT) is then calculated utilizing a dynamic algorithm. Simulation results showed that dynamic cycle TLS reduces queue length and waiting time on the road intersection by 68% and 67% respectively. Additionally, a monitoring application is designed to ease traffic officer in monitoring real-time traffic flow.