An IoT based Intelligent Traffic Congestion Control System for Road Crossings

Traffic congestion is one of the major issues with the public transportation system in recent time. The traffic congestion has a negative impact on the productivity, competitiveness and economic growth of a country. Hence traffic congestion control has become an important area of research and significant number of solutions to this problem came out of various research efforts in the said field over the past few decades. Among these, vehicle-to-vehicle (V2V) communication based approaches cannot accurately estimate the density of traffic congestion. On the other hand, the traffic signaling systems having predetermined fixed operation time cannot manage the traffic volume changing over time and thus, long traffic queues are generated at the road crossings. To address the above mentioned issue, this paper proposes an internet-of-things (IoT) based intelligent traffic congestion control system that dynamically sets the signal operation time based on the measured values of traffic congestion density. Moreover, a novel technique of measuring the density of traffic congestion created at the road crossings is also presented in this paper.