The work is aimed at developing and testing an algorithm for choosing the location of a new cargo storage warehouse, taking into account stochastic flows of cargo supplies to the warehouse and to consumers from the warehouse. When choosing a warehouse location, the costs that accompany the activities of a logistics company related to the organization of warehousing in the selected location, with the maintenance of the warehouse, storage of cargo, delivery of cargo from suppliers to the warehouse and from the warehouse to consumers are taken into account. The paper proposes an algorithm for solving the problem of choosing the location of a cargo storage warehouse, taking into account the forecast of the dynamics of cargo deliveries to the warehouse and to consumers from the warehouse. A mathematical toolkit is described that allows estimating the dynamics of costs for the organization and operation of a warehouse in conditions of non-stationary flows of incoming and outgoing cargo from a warehouse based on the application of the statistical modeling method. The approbation was carried out. The proposed toolkit has a novelty in terms of accounting for non-stationary flows of incoming and outgoing cargo to the warehouse and real transport routes when choosing the location of the warehouse.

Keywords: warehouse location, dynamics of warehouse costs, statistical modeling, mathematical model, logistics

The advantages of simulation models are presented. A computer simulation model of an automated warehouse is considered and a solution to the model optimization problem of warehouse management is given. The model is implemented in the AnyLogic system using multi-agent modeling tools. These models can be used for clustering.

Keywords: modeling, simulation, digital twin, inventory management, AnyLogic, clustering

The development of algorithms for solving problems of urban transport system management is an actual scientific and practical task. The absence of socio-economic facilities in the area of urban residents contributes to an increase in the of the cars use intensity. This situation contributes to traffic congestion. The article considers the methodic for assessing the infrastructure deficit for the transport districts of the city. The methodic provides for the development of dynamic maps, which are obtained on the basis of a survey of the city's population throughout the year. The information is generated and structured in the database, and if there is a request, it is processed and displayed as an infographic. For example, on the city map, the objects of interest are indicated by a symbol, pedestrian and transport accessibility to these objects for residents of a particular section of the city is marked in different colors.

Keywords: urban transport system, assessment methodology, questionnaire, data analysis, socio-economic object

The article considers the solution of the scientific and practical problem of reducing the intensity of the use of personal passenger transport. To do this , the search for reserves of urban mobility is carried out . Cities with a population of no more than one million people are considered. It is assumed that the urban public transport system is represented only by bus transport. A practical method of searching for reserves of urban mobility is proposed, in which municipalities, business communities, science, production, and education are supposed to be involved. The proposed solutions are based on logistics methods. Examples of solutions: development of Internet aggregators for renting bicycles and personal mobility equipment, organization of storage facilities for personal mobility equipment, and more. Based on this method, you can create a module for an automated workplace of the transport division specialist of the city administration.

Keywords: urban transport system, urban mobility, smart mobility, mobility reserve, urban logistics