Smart Urban Traffic Management System using Energy Efficient Optimized Path Discovery

The increased traffic on the roads is a direct outcome of growing urban populations. Congestion on the roads is a result of the road infrastructure’s incapacity to manage traffic effectively. The government is also affected by traffic congestion, in addition to the general public. Government expenditures are increased by congestion, which also makes residents more stressed and harms the environment. In order to boost system efficiency and cut down on travel time, alternate routes that steer clear of busy road segments can be suggested to drivers. Therefore, this paper discusses about the methods for analyzing real-time traffic data, the algorithms that provide a real-time, energy-efficient, and optimal path from the source to the destination depending on the traffic. This paper also discusses the benefits and limitations of these techniques and algorithms in a Smart Urban Traffic Management System (SUTMS) with the results of contemporary study on the same topic.