IoT in next generation traffic management system.

Rapidly rising vehicle count is a significant indicator of a country's cost-effective development. The increase in vehicle count results in increasing the traffic congestion. It leads to waste of electricity, time and contamination of the atmosphere. Due to the fact that traditional traffic lights have specific time intervals for transitioning from red to green phase, they cannot meet the demands of an overgrowing city. This is a big problem that most cities are dealing with despite efforts to alleviate and eliminate it. In recent years, traffic congestion has emerged as one of the most significant problems for engineers, planners, and politicians worldwide, not just in urban areas. Several attempts have been made to regulate traffic lights based on the density of vehicles on the road using Intelligent Transportation Systems (ITS). This paper compares and contrasts various sensor frameworks in terms of cost, reliability, accuracy, performance, and maintenance. The number of automobiles on the road has risen dramatically in recent years. Traffic Congestion is a rising issue that everybody deals with on a daily basis. Manual traffic control by traffic cops has not proven to be successful. The signal's fixed set time in all conditions (low and high traffic density) hasn't solved the issue. The use of the Internet of Things (IoT) is proposed as a model for effectively solving the problems described above. For internet-based computing, we use the cloud, which provides various resources such as server, storage, and application for traffic management. [ABSTRACT FROM AUTHOR]