Published Paper Details:

It is generally agreed that a smart city's traffic management system is one of its most important components. Congestion on the roadways is a common occurrence in metropolitan areas because of the fast increase in population and urban mobility that has occurred there. A smart traffic management system that makes use of the Internet of Things (IoT) is presented in this article as a means of addressing a variety of challenges related to the administration of traffic on roadways and assisting authorities in the execution of effective planning. The flow of traffic on roadways is optimized by employing a hybrid strategy, which is a blend of centralized and decentralized methods, and an algorithm is developed to effectively handle the many different types of traffic circumstances. In order to accomplish this objective, the system first maintains traffic lights after receiving information about the volume of traffic from a) cameras and b) sensors. In order to reduce the likelihood of future traffic congestion, another algorithm based on artificial intelligence is being utilized to make predictions about traffic density. During a traffic jam, RFIDs are also utilized to provide priority to emergency vehicles like ambulances and fire trucks so that they may get through the congestion more quickly. Smoke sensors are also a component of this system, and their purpose is to identify the presence of smoke in the event of a roadside blaze. In order to prove that the system for managing traffic that has been described is successful, a prototype will be constructed. This prototype will not only improve the flow of traffic but will also connect adjacent rescue departments with a centralized server. In addition to this, it gleans helpful information and displays it in graphical representations, which might be of use to the authorities in the process of future road planning.