Abstract
As a result of rapid population growth, greater vehicle ownership, and inadequate infrastructure, metropolitan areas are witnessing a significant increase in the amount of traffic congestion that they are experiencing. An inefficient flow of traffic not only results in delays and economic losses, but it also adds to an increase in the amount of fuel that is consumed and the production of pollution in the air. Intelligent Transportation Systems (ITS) have developed as a cutting-edge technology that can increase overall transportation efficiency and optimize the flow of traffic. the implementation of ITS technologies for the purpose of managing and improving the way urban traffic flows. Some of the components of Intelligent Transportation Systems (ITS) that are investigated in this study are traffic signal control systems, real-time traffic monitoring, adaptive traffic management, and communication between vehicles and infrastructure. The information that is gathered from sensors, cameras, and devices that are equipped with GPS is evaluated in order to keep track of the current traffic conditions and to make effective adjustments to the traffic control systems. whether or not Intelligent Transportation Systems are effective in reducing congestion, lowering travel time, and improving road safety. A number of strategies, including adaptive signal control, route guidance systems, and congestion pricing, are being investigated to determine the extent to which they can alleviate traffic congestion. In addition to this, the study takes into consideration the incorporation of developing technologies like artificial intelligence and data analytics into the planning and control of traffic.

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