This article is devoted to automation of search of routes of passenger flows of inhabitants of the city on the basis of routes of public transport. To do this, it is proposed to use satellite data that reflect the movement of passengers. Based on the analysis of data arrays of information on the movement of cellular subscribers and the use of message messages to determine the effectiveness of passenger routes of public transport, the article proposes to create a system of automatic search of public transport routes, which includes different classes of charts and data bases. You can use data from cellular operators to do this. This can increase the accuracy of certain traffic volumes and the ability to monitor them in real time. Reliable information on the routes of urban public transport allows to determine passenger flows and efficiently perform transport services. The main requirements for modeling the city’s passenger traffic are presented. Methods of obtaining data on determining the city’s passenger traffic and public transport are considered. Documentation for the creation of the ISASR (Intelligent System for Automation Search of Routes) project has been developed. The MVC (Model-View-Controller) architectural template was used to develop the project. Class diagrams and precedent diagrams have been developed for the model. Database structures have been created and vehicle types and user types have been defined. Algorithms for finding routes for different situations, with different latitude and longitude coordinates, as well as different number of stops and transfers have been developed.

Oil production is increasing. This increases the number of accidents. Oil spills are increasing. Since oil has special physical and chemical properties and parameters, contamination of water resources by oil and oil products causes man-made disasters. The authors made the assumption that a robot with artificial intelligence will be used to purify the water surface from oil (oil products) by biological methods. This robot will be located directly on the ship and will monitor and analyze oil pollution. In order to carry out clean-up activities at the site of the accident, it is necessary to have information on the main parameters of oil pollution. The authors of this article propose a structure for the monitoring and analysis of oil pollution in water resources. According to this structure, analysis and monitoring must be carried out by an intelligent decision support system. An intelligent decision support system includes a database of oil pollution parameters and a knowledge base. The aim of this work is to analyze oil pollution on the water surface using an intelligent decision support system. In order to achieve this objective, the article proposes the structure of the oil pollution parameter database, which is part of an intelligent system to support decision-making on oil pollution analysis and assessment. This scheme includes the main parameters of oil pollution affecting the decision on the choice of type and quantity of treatment products for the biological treatment method. An algorithm for determining the capacity of oil spill is proposed. The main elements of the oil pollution parameters database are: type of oil products, capacity of oil spill, water flow, wave height and velocity, wind direction and speed. In future, the analysis and monitoring scheme for oil-based water pollution will be expanded to include special technical, measuring and meteorological instruments that will allow the immediate presence of the oil (oil products) spill investigate oil contamination parameters.