IOT for ITS: An IOT Based Dynamic Traffic Signal Control

With the ever increasing population in urban cities traffic management is becoming more difficult and hence it is additional essential to achieve a sustainable transportation setup. A fine traffic model be able to depict the traffic activities correctly and efficiently. The major goal of our project is to make traffic management system work efficiently, dynamically using IoT. Using Arduino controller and IR sensors we regulate the traffic system to work efficiently. According to several scholastic studies, traffic lights are be answerable for nearly partially of the traffic jams. Thereby also lead to cause nearly half the pollution. Poorly managed traffic lights can cause not only tripling of the fuel consumption but also lead to CO
₂
emissions and various other pollutants emissions. This can happen easily when the traffic is too cluttered. We intent to implement the project for four junctions as “Proof-of-Concept” for this paper. IoT devices that we are using traffic lights, IR-sensors, Arduino microcontroller and a Central Server to coordinate all the activities of the traffic management. we have selected the Kerner three-phase traffic theory to implement a managed and synchronized system. It helps us in establishing a Dynamic and Intelligent Transport System that provides synchronized and automatic traffic management. This leads to reduced fuel consumption also. Our aim is to take advantage of the technology provided by Internet of Things to enhance ITS and vehicular communications, namely, the V2I and the V2V systems within towns and cities.