Mnatsakanian M. Modeling of intelligent transport systems under the influence of heterogeneous factors of non-stationary medium

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0419U001692

Applicant for

Specialization

  • 05.13.06 - Інформаційні технології

10-12-2019

Specialized Academic Board

Д 26.059.01

Essay

The dissertation is devoted to the solution of the actual scientific and technical problem of increasing the efficiency of modeling of intelligent transport systems in the conditions of influence of heterogeneous factors of a non - stationary environment on the sections of the street and road network of industrial centers.Formalization of technology of guaranteed adaptive control and biased consideration of current influential factors of the AIS is developed, which differs from the known improvement of the efficiency of modeling of intelligent transport systems on the sections of the street and road network of industrial centers, due to the use of means: telecommunication terminal equipment; IT data processing; Internet and GPS observations.The modeling of each object of a complex dynamic system, which is simultaneously affected by heterogeneous environmental factors, and the hierarchical organization of operational dispatching control of the environmental status of the urban intellectual transport system due to the integrated processes of complex evaluation, coordination and self-organization, are proved.Implementation and test use of the results of this work were made, which made it possible to conclude on the effectiveness of the proposed information technology of guaranteed adaptive control. The verified estimates are based on the determination of rational parameters for the interaction of all elements of the urban intelligent transport system and thereby reduce the occurrence of congestion at peak time intervals in the main directions of free vehicles and significantly improve the environmental status of the external environment from greenhouse gas emissions from greenhouse gas emissions. variable traffic intensity.The practical importance of the results of the study was confirmed by the acts of implementation at the industrial and municipal enterprises of Mariupol, as well as by the acts of introduction into the educational process of the State Technical University "PDTU" and the National Transport University.

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