ANALYTICAL MODEL OF ORGANIZATION OF FREIGHT TRANSPORTATION IN COMPLEX TRANSPORT SYSTEM OF MEGALOPOLIS

Abstract

The article presents an analytical model that allows designing information and analytical platforms for managing freight transportation in complex transport systems. The developed model is based on the principles of synthesis of methods for controlling the structural dynamics of complex systems and solves the problems of finding the optimal balance between the information situation of the object and the subject of design. The principles of mathematical modeling of processes on an information and analytical platform were formed, namely: the implementation of an object-oriented approach when forming an information space of possible solutions and dismemberment into subsystems and levels based on the principle of homogeneity of technology and heterogeneity of information states. On the basis of the formed approach, an information and analytical platform has been developed in the freight transportation management system, which allows you to objectively reflect the change in system variables over time for a particular process from the standpoint of multivariable forecasting, while the tools for simulating the production of solutions can be transformed in relation to a particular process, depending on the information situation corresponding to the conditions of the freight transportation process.
 Purpose. Development of an analytical model for building an information and analytical platform for managing the system of road freight transportation in a large agglomeration or metropolis.
 Methodology. Mathematical methods of decision theory under conditions of stochastic uncertainty, which makes it possible to develop optimal control strategies in a complex system.
 Results. Mathematical model and algorithms for the organization of road freight transportation in the context of the flow of unstructured information of the external environment.
 Practical implications. The transport system of a metropolis or large agglomeration, in which the indicators of its effectiveness are influenced by a large number of external and internal factors and at the same time there is a significant dynamic of the studied indicators.