employee from 01.01.2016 until now
Rostov-on-Don, Rostov-on-Don, Russian Federation
employee
UDC 681.5
In today’s era of digital transformation and growing environmental complexity, enhancing the adaptability of international transport-corridor (ITC) management has become a critical challenge. This article substantiates the concept of cognitive digital twins (CDTs) of traffic participants—drivers and vehicles—as a key tool for proactive ITC management. We trace the evolution of transport-corridor governance practices: from traditional deterministic regulations, through “soft” fuzzy-logic models, to self-learning networks of intelligent digital twins. A conceptual model is proposed for integrating CDTs into an ITC dispatching system that forecasts participant behavior and optimizes operations in real time. The analysis shows that introducing CDTs reduces risk and boosts corridor performance by synchronizing real and virtual management spaces. Based on the findings, we offer practical, phased recommendations for deploying CDTs in the governance of international freight transport.
cognitive digital twin, digital consciousness, international transport corridor, adaptive management, socio-technical system, fuzzy logic, artificial intelligence
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