This study focuses on the use of Artificial Intelligence (AI) to assess the condition of urban roads and streets, as well as analyze traffic use indicators. It explores how AI technologies—such as image recognition, sensors, and data analytics—are employed to detect road surface damage, monitor infrastructure health, and evaluate traffic patterns. The research highlights the benefits of AI in enabling timely maintenance, improving road safety, and optimizing urban mobility planning. By integrating AI with geographic information systems (GIS) and smart sensors, the study demonstrates improved accuracy and efficiency in urban road condition monitoring and traffic management decision-making processes.

AI, indicator, transport, load, car, time, speed, distance.

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