The Role of Intelligent Transportation Systems in Minimizing AIr Pollution

Air pollution caused by motor vehicles is one of the most pressing environmental issues in modern cities, especially in industrial centers such as Kryvyi Rih. High traffic intensity, road congestion, and inefficient traffic management contribute to increased concentrations of harmful substances, negatively affecting public health and the environment. This necessitates the implementation of innovative approaches to traffic regulation using modern technologies, particularly intelligent transportation systems (ITS). This paper explores the potential application of ITS to minimize the environmental impact of motor vehicles. The main methods and tools used in ITS are analyzed, including traffic monitoring systems, adaptive traffic light control, mathematical models for predicting air pollution levels, and artificial intelligence technologies for traffic flow analysis. Special attention is given to the development of a comprehensive system that integrates traffic management with environmental monitoring systems, allowing for real-time response to changing conditions and the implementation of measures to reduce emissions. The proposed traffic flow optimization scheme is based on several key stages: data collection using sensors and surveillance cameras, data processing through analytical algorithms, traffic regulation based on environmental indicators, and evaluation of the effectiveness of implemented measures. The use of such a system reduces congestion, shortens vehicle idle time, and lowers air pollution levels. The implementation of ITS in urban environments will contribute not only to environmental safety but also to improved comfort for residents, increased efficiency of public transport, and overall enhancement of transportation infrastructure. A comprehensive approach to traffic optimization can become a crucial step toward sustainable urban development and reducing the negative impact of motor vehicles on the environment.