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THE DIGITAL TWIN MODULE
The DIGITAL TWIN MODULE is designed to store and manage information about the road network: highways, pedestrian and dirt roads, artificial road structures, roadside elements (including road traffic control systems) on federal, regional and municipal roads.
  • Managing spatial and attribute information about road assets and transport infrastructure
  • Accounting and inventory of road assets
  • Visualization of the current state of road traffic control systems.
Storing information about road assets (RA)
Highways and dirt roads, inter-block passages, pedestrian paths, rail transport, artificial structures, roadside elements
Visualization of the state of road traffic control systems and ITS
Displaying the actual condition and operating modes of road traffic control systems on a map
Regional/agglomeration/city level
Storing attribute information about road assets from the municipality level to the level of a federal subject
User visualization settings
Tools for user-defined visualization settings and data display schemes for road assets
Data export to the Road Information Data Exchange System (SKDF)
All information about road assets can be transferred to the Road Fund Control System — СКДФ.РФ
Extensible attribute model
The ability for the user to expand the attribute model without programming (low-code concept)
Advantages of the module
  • Centralized information storage
    All data about the road network, road transport infrastructure, and the operational situation in the field of ITS are collected in one place, which simplifies monitoring the current state and ensures effective management of ITS.
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  • Quick access to information
    Users can instantly receive up-to-date information about any segment of the road network or infrastructure object that interests them.
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  • Data integration from various modules and instrumental subsystems
    The digital twin integrates data from video cameras, sensors, traffic control and safety systems and other sources into a single operational picture.
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  • Forecasting and response
    Based on aggregated data, it is possible to quickly predict the development of the traffic situation, which allows for timely response to changes and decision-making.
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  • Operational adjustment
    In case of emergency situations or changes on the road, decision-makers can quickly adjust their actions based on a complete and up-to-date operational picture.
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  • Improved coordination
    Since all the data is available in one place, this ensures better coordination between the various services and departments involved in traffic management.
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