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Goal: To identify dependencies of key operating parameters of freight terminals required for their design and choice of rational performance of basic elements and devices. Petersburg State Transport University, and the technology to transport goods over discrete-continuous principles created a model that allows to perform dynamic experiments to identify significant design parameters and performance of magnetic levitation terminals. On the basis of schemes of cargo magnetic levitation stations, developed by the specialists of the Department of "Railway stations and junctions" of Emperor Alexander I St. The simulation models will significantly improve the quality of urban environment, satisfy the demand for food products, provide access to healthcare services and ensure effective rescue actions in case of emergency.
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The article describes the cases of simulation models implemented via Powersim and AnyLogic to support rational urban planning. We propose the consolidated architecture of the Smart City decision-making system integrating the simulation models, data storage and city monitoring subsystem. We devised an approach to designing the Smart City system through methods of system dynamics and agent-based modeling (supported via Powersim and AnyLogic) intended to streamline the decision making process for reasonable urban planning. Using simulation modeling, namely system dynamics and agent-based modeling (supported via Powersim and AnyLogic), we evaluate how multiple guiding parameters influence crucial characteristics of the Smart City system. The research develops methods and tools to manage the Smart City system through system dynamics and agent-based modeling.
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The article also discusses the creation of a system supporting the Smart City decision-making process. The research investigates key processes of urban life and its maintenance, including food supply, infrastructure, fire security, quality and accessibility of medical services, etc.