intelligent systems

The authors consider the features of multi-agent modeling for traffic optimization in the central areas of cities. While evaluating the unique challenges associated with the high concentration of vehicles, pedestrians and historical buildings, the potential of multi-agent systems to effectively solve the problem of congestion, safety and quality of life in urban areas is investigated. The potential of multi-agent modeling in the context of traffic management in the central areas of the city allows us to identify the key challenges and opportunities.

An intelligent system for sightseeing tour was developed. Using the results of sightseeing tours analysis the knowledge base was created for advisory program tool for tour route selection and real-time tracking. An analysis of recent researches in data mining of tourist spatial movement was made. Program tools for data collection, processing and analysis of movement and tourist expenditures during the sightseeing tour were developed.