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Smart traffic management system

Project Abstract:

The "Smart Traffic Management System" project seeks to enhance traffic efficiency and lessen congestion in urban areas. Real-time traffic monitoring will be accomplished by the system using a mix of sensors, cameras, and AI algorithms. In order to reduce congestion, the system will use the traffic data it has gathered to dynamically change traffic signals, reroute vehicles, and provide alternate routes. A smartphone application will be used by the system to give drivers real-time updates and traffic information. All road users will benefit from safer, more efficient, and smoother urban traffic thanks to this initiative.

Project Background:

Over the years, the number of vehicles has increased dramatically, which has led to serious problems such as traffic jams, accidents, and many other problems, as cities turn into smart cities. In recent years, traffic jams have become one of the main challenges for engineers and designers to create an intelligent traffic management system capable of effectively detecting and reducing the overall density of traffic in most urban areas visited by motorists such as offices, downtown, and establishments based on several modern technologies, including wireless sensor networks (WSNs), surveillance camera, and IoT.

 

In this article, we propose an intelligent traffic control system based on the design of a wireless sensor network (WSN) in order to collect data on road traffic and also on available parking spaces in a smart city. In addition, the proposed system has innovative services that allow drivers to view the traffic rate and the number of available parking spaces to their destination remotely using an Android mobile application to avoid traffic jams and to take another alternative route to avoid getting stuck and also to make it easier for drivers when looking for a free parking space to avoid unnecessary trips. Our system integrates three smart subsystems connected to each other (crossroad management, parking space management, and a mobile application) in order to connect citizens to a smart city.

Project Components:

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Project Images:

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Project Team Members:

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