The use of artificial intelligence in traffic management can significantly im prove the efficiency, sustainability and safety of the transport system. Traffic is one of the areas that significantly affects the quality of life of today's man, but a Iso in the field of safety. Today, cities are increasingly turning to smart solutions. Smart traffic management is also part of smart cities. The smart transport system is highly dependent on the implementation of artificial inteligence. Artificial intelligence (A!) is used in a variety of ways today, from personal assistants to a selfdriving car. Artificial intelligence is developing extremely quickly, and thus the field of its application is expanding. Artificial intelligence refers to the ability of machines to mimic human intelligence and perform tasks that typically require human intelligence, such as learning, problem-solving, decision-making, and natura! language comprehension . Artificial intelligence is a branch of science that uses a computer to mimic the human brain in solving complex problems, resulting in an intelligent solution with minimal possibilities for error. Today, artificial intelligence has been implemented in ali aspects of human life and functioning. Deep learning, machine learning, and game theory are the most commonly used branches of artificial intelligence. A smart city includes a wide range of applications in smart transportation, smart healthcare, smart parking, smart education, and smart public services. These applications require sensors, big data processing, communication, and security. There are numerous benefits to using AI to maintain traffic in response to the current situation. Among them, the following advantages are crucial: - Traffic runs smoothly thanks to AI - It is better for the environment when there is no traffic congestion - Many corporate processes can be optimized thanks to AI - By carefully controlling the flow of traffic, human error, by far the most common cause of accidents, can be almost minimized. Accident rates can be significantly reduced if the human aspect is eliminated. Urban Traffic Management and Control (UTMC) systems connect several different computer applications to im prove traffic management. They are an evolution of existing urban traffic management (UTC) systems and will form the next generation of transport systems. Within the UTMC framework, several traffic management and control applications can freely exchange data using a common specification to store and transmit data. One of the characteristics of a UTMC system is that data from different applications can be organized into a common database with two key purposes: - Provide tools to manage system operators - Inforrn policymakers about trends The goal of sustainable traffic management using the ITS (Intelligent Transportation System) approach in smart cities isto establish robust transportation systems that could provide reliable and efficient networks, manage overall trave! time, minimize fuel consumption, and mitigate expected environmental pollution. In smart cities, parking provisions and locations are crucial because improper and inappropriate parking can render some traffic management systems dysfunctional. Artificial intelligence can help manage parking through systems that monitor the availability of parking spaces and inform drivers about available capacities. This reduces the time spent looking fora parking space and consequently reduces congestion. The integration of artificial intelligence in urban traffic management enables adaptability, quick reaction to changes and optimization of resources, thus improving the overall experience of citizens in moving around the city.