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Intelligent Transportation Systems refer to advanced applications which aim to improve operational efficiency, enhance road safety and provide better convenience for commuters through technology. These systems encompass various solutions such as traffic management systems, adaptive signal control, real-time traffic information systems, and automated vehicle technologies. The use of artificial intelligence and deep learning techniques in these systems enables features like predictive traffic modeling, advanced driver assistance systems (ADAS), and autonomous vehicles. Furthermore, the integration of IoT devices provides seamless communication between vehicles, infrastructure, and personal devices, resulting in a more interconnected and efficient transportation network. This technology-driven approach to transportation management not only enhances the commuting experience but also contributes significantly to sustainable urban development.