With rapid growth in personal luxury and increasing jobs, People are comfortable using their personal vehicles rather
than public transport to fulfill their transportation needs. This is because of ease of access and feasibility to use the vehicles at
their own will at any point of time. It is leading to heavy traffic congestions and long waiting periods at traffic signals which is
becoming a heavy burden in all major cities and will be affecting environment because of pollution caused by so many vehicles
and also will disturb the individual’s time schedule. This paper proposes a system using data analytics, machine learning
algorithms, Internet of things to predict the traffic flow, generate precise data about real time traffic congestions at that instant
and rerouting the vehicles using navigation through a less congested path ultimately developing an Intelligent Traffic
Management system.
