Intelligent transportation systems: prospects, effectiveness, and challenges

Background. Intelligent transport systems (ITS) represent one of the most significant and relevant topics in the field of modern transport and logistics. With the rapid growth of the urban population, an increase in freight traffic and a constant increase in the number of cars on the roads, the need for efficient and reliable transport solutions is becoming more and more obvious. ITS, as a set of technologies and methods aimed at optimizing transport processes, can significantly improve the efficiency of transport systems, improve road safety and reduce the negative impact on the environment.

Purpose – a comprehensive study of intelligent transport systems, their effectiveness, problems and prospects, which will not only deepen understanding of this topic, but also contribute to the development of transport infrastructure.

Materials and methods. The main research method is theoretical and practical. The article is based on a set of sources provided by regulatory legal acts, office work, statistical and reference materials.

Results. This article discusses in detail intelligent transport systems and artificial intelligence, which are a powerful tool for improving the efficiency and sustainability of transport systems. Their successful implementation will require an integrated approach that takes into account all aspects, including economic, environmental and social. It is necessary to continue research in this area in order to identify new opportunities and solutions that will help overcome existing problems and make transport systems more efficient and safer for all users. The data obtained can be effectively used by government agencies and citizens, which will accelerate the implementation of ITS in Russian cities, thereby creating a more sustainable and secure future for all.