Zakutynskyi I. IoT System for Monitoring and Management Public Transport

The dissertation focuses on the development of intelligent transport systems based on the Internet of Things (IoT) concept and the creation of a system for monitoring and managing public transport using the methods proposed. According to the United Nations Department of Economic and Social Affairs, in 2020, 56% of the global population resided in urban areas, and this number continues to grow annually. The population growth in urban regions leads to an increase in the number of vehicles on the roads, exacerbating transportation problems such as traffic congestion, fuel costs, and emissions of harmful substances into the atmosphere. These factors have a negative impact on the quality of life and the health of city residents. Regardless of the region's size, optimizing the operation of the public transport system becomes a crucial task that significantly influences the efficiency of the transport system and the city as a whole. In this context, the Internet of Things (IoT) concept emerges as one of the most promising technologies for enhancing existing public transport systems and developing new ones. IoT offers the opportunity to create intelligent networks where various elements of the transportation infrastructure can exchange data and interact with operators and passengers in real-time. This, in turn, facilitates data monitoring and analysis, offering opportunities to create safer, more efficient, and convenient public transport systems. Therefore, the development of intelligent public transport systems and the scientific justification of their construction methods represent a relevant research topic.