Abstract:
Traffic management system is a cornerstone of a Smart city. In the current problems of the
world, urban mobility is one of the major problems, especially in metropolitan cities. Previous
traffic management systems are not capable enough to tackle this growth of traffic on the road
networks. The purpose of this paper is to propose a smart traffic management system using the
Internet of Things and a decentralized approach to optimize traffic on the roads and intelligent
algorithms to manage all traffic situations more accurately. This proposed system is overcoming
the flaws of previous traffic management systems. The system takes traffic density as input from
cameras which is abstracted from Digital Image Processing technique and sensors data,
resultantly giving output as signals management. An algorithm is used to predict the traffic
density for future to minimize the traffic congestion. Moreover, a mobile application is
connected to a centralized server which intimates to nearby that measures the intensity of each
lane to take further action. In addition, we have provided a simulation within the application to
help get any user get an idea of how the system works as it is intended to.
