Abstract
Theoretical and applied ideas and tools of traffic intelligent management on the basis of fuzzy situational management and virtual cyberspace are developed through the system approach, artificial intelligence methods, modern achievements in the field of the creation of intelligent transport systems (ITS). The proposed scientifically-methodical foundations and software and hardware tools allow the creation of intelligent transport systems at a new level, synchronizing the development of road traffic infrastructure and virtual cyberspace, allowing to solve effectively a rather large range of theoretical and applied problems in the field of traffic management, transport modelling and planning.
Highlights
Development of science-based methodologies and tools [2, 9,10,11,12, 14, 15] aimed at conducting in-depth surveys in the field of transport infrastructures, followed by the implementation of management using intelligent transport systems (ITS) is one of the promising areas in the development of efficient urban transport systems
The work [2, 3] presents the author's approach in the field of creation of adaptive intelligent transport systems of new generation based on application of fuzzy situational management and virtual cyberspace
The problem of developing theoretical foundations of intelligent traffic management based on fuzzy situation management and virtual cyberspace, allowing to ensure at a new level the creation of highly adaptive intelligent transport systems [17], synchronizing the development of road transport infrastructures and virtual cyberspace, allowing to solve effectively a fairly large range of theoretical and applied problems in the field of traffic management, transport modeling and planning on the basis of use of diverse knowledge, is relevant and timely
Summary
Development of science-based methodologies and tools [2, 9,10,11,12, 14, 15] aimed at conducting in-depth surveys in the field of transport infrastructures, followed by the implementation of management using intelligent transport systems (ITS) is one of the promising areas in the development of efficient urban transport systems. The problem of developing theoretical foundations of intelligent traffic management based on fuzzy situation management and virtual cyberspace, allowing to ensure at a new level the creation of highly adaptive intelligent transport systems [17], synchronizing the development of road transport infrastructures and virtual cyberspace, allowing to solve effectively a fairly large range of theoretical and applied problems in the field of traffic management, transport modeling and planning on the basis of use of diverse knowledge, is relevant and timely
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