title: Ð¢ÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸ÑÐµÑÐºÐ¸Ðµ Ð¾ÑÐ½Ð¾Ð²Ñ ÑÐ²ÑÐ·ÐºÐ¸ ÑÐ¸ÑÑÐµÐ¼ Ð¼Ð¾Ð½Ð¸ÑÐ¾ÑÐ¸Ð½Ð³Ð° Ð¸Ð½Ð¶ÐµÐ½ÐµÑÐ½ÑÑ ÐºÐ¾Ð½ÑÑÑÑÐºÑÐ¸Ð¹ Ð¸ ÑÐ¾Ð¾ÑÑÐ¶ÐµÐ½Ð¸Ð¹ Ð¸Ð½ÑÑÐ°ÑÑÑÑÐºÑÑÑÑ Ð°Ð²ÑÐ¾Ð¼Ð¾Ð±Ð¸Ð»ÑÐ½ÑÑ Ð´Ð¾ÑÐ¾Ð³ Ñ Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑÑÐ°Ð»ÑÐ½ÑÐ¼Ð¸ ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ½ÑÐ¼Ð¸ ÑÐ¸ÑÑÐµÐ¼Ð°Ð¼Ð¸
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Technological bases for linking monitoring systems of engineering structures and structures of the infrastructure of highways with intelligent transport systems
Creators: name: ÐÐ¸ÑÐ°Ð¹Ð»ÑÐº, ÐÐ°Ð½Ð¸Ð¸Ð»
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: ÑÐ²ÑÐ·ÐºÐ°
Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑÑÐ°Ð»ÑÐ½ÑÐµ ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ½ÑÐµ ÑÐ¸ÑÑÐµÐ¼Ñ
ÑÐ¸ÑÑÐµÐ¼Ñ Ð¼Ð¾Ð½Ð¸ÑÐ¾ÑÐ¸Ð½Ð³Ð° Ð¸ÑÐºÑÑÑÑÐ²ÐµÐ½Ð½ÑÑ ÑÐ¾Ð¾ÑÑÐ¶ÐµÐ½Ð¸Ð¹
Ð¿Ð¾Ð´ÑÐ¸ÑÑÐµÐ¼Ð° ÑÐ²ÑÐ·ÐºÐ¸
ÑÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸ÑÐµÑÐºÐ¸Ðµ Ð¾ÑÐ½Ð¾Ð²Ñ ÑÐ²ÑÐ·ÐºÐ¸
linking
intelligent transport systems
monitoring systems of artificial structures
linking subsystem
technological bases of linking

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description: This final qualification work is devoted to the formation of technological foundations for linking monitoring systems of engineering structures and structures of the infrastructure of highways with intelligent transport systems. The work analyzes intelligent transport systems and monitoring systems of artificial structures, as well as the use of monitoring data for the organization of movement, maintenance, and operation of artificial structures. In addition, the analysis of technologies for linking information flows from monitoring systems with software tools of intelligent transport systems was carried out. To solve the problem, the technical requirements for the developed subsystem are formulated, the hardware and algorithmic architectures of the linking subsystem are designed, a linking algorithm based on the theory of finite automata is developed, as well as an algorithm based on the regression analysis method to provide comprehensive information. Thanks to in-depth analysis, experiments and practical examples, this dissertation is aimed at a comprehensive study of the technological foundations of the integration of monitoring systems of engineering structures with ITS. This research is aimed at expanding knowledge in the field of intelligent transport systems and forming a new understanding of the integration of transport infrastructure monitoring systems.