Implementation of Artificial Intelligence Technologies: Development of Urban Transport Systems and Citizens’ Perception

The article considers the application of artificial intelligence technologies for successful implementation of projects launched in the urban transport system with regard to residents’ reactions. During the research, an algorithm was developed and subsequently tested on the material of urban transport conflicts. The study involved an interdisciplinary approach utilizing neural network technologies for real-time big data analysis. Data from social networks, microblogs, forums, blogs, video hosting sites, and reviews were used for the research. The developed algorithm helped identify conflict zones, determine topics and semantic accents that set off the strongest negative reactions from residents, and formulate recommendations to mitigate conflicts and create conditions for successful implementation of urban projects.