INTELIGÊNCIA ARTIFICIAL NO TRÂNSITO

Abstract

This study examines the role of Artificial Intelligence (AI) in urban traffic management, considering the growing challenges arising from the increase in the vehicle fleet and rapid urbanization. These factors contribute to frequent traffic congestion, increased pollutant emissions and a higher accident rate, which generates an urgent need for innovative solutions that promote safer, more efficient and sustainable traffic. The main objective is to evaluate how AI can be used to optimize urban mobility, reduce the frequency of accidents and minimize traffic-related pollution, in addition to identifying the main challenges and opportunities in the implementation of such technologies in modern urban contexts. The research was carried out through a literature review, analyzing scientific articles, publications and specialized documents. This survey sought to synthesize the existing knowledge on advances in intelligent transportation systems (ITS) and explore the practices and technologies that interconnect data and communication applied to traffic. The sources consulted included databases such as Google Scholar and recognized publications in the area, with a focus on developing countries, where the adoption of AI in urban mobility is still incipient. The use of AI-powered ITS can not only improve traffic flow and reduce congestion, but also contribute to a more sustainable urban environment. The research suggests that investment in infrastructure and capacity building will be crucial to the successful implementation of AI in traffic systems, especially in developing countries.