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Original research
DIGITALIZATION OF URBAN TRANSPORT INFRASTRUCTURE: INTELLIGENT TRAFFIC MANAGEMENT AND ITS IMPLICATIONS FOR SUSTAINABLE URBAN DEVELOPMENT AND PUBLIC POLICYPages 33-40
Abstract
This article examines the “smart city” concept, focusing on intelligent urban mobility as a key factor for sustainable development and quality of life. The study aims to address urbanization challenges-such as congestion and pollution-through Intelligent Transport Systems (ITS). The methodology is based on the Internet of Things (IoT), using sensors and cloud platforms for real-time data analysis. Various solutions are analyzed, including adaptive intersection management, multi-agent systems, and machine learning (Q-learning). Research results demonstrate a significant reduction in delays, fuel consumption, and emissions, while increasing public transport reliability. The authors conclude that integrating IoT with decentralized architectures (Agents of Things) is fundamental for building eco-friendly cities. The study confirms the "green kilometers in motion" concept, proving measurable environmental and economic benefits, making intelligent traffic management a vital tool for modern urban planning.
Keywords: Smart Cities, Intelligent Mobility, Intelligent Transport Systems (ITS), Internet of Things (IoT), Machine Learning, Sustainable Development.
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Venelin Terziev, 
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