Proceedings of the 8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020)

Methodology for the Formation of the Infrastructure of Intelligent Management of Transport Processes

Authors
T.I. Mikheeva, S.V. Mikheev, A.I. Chugunov
Corresponding Author
T.I. Mikheeva
Available Online 10 November 2020.
DOI
10.2991/aisr.k.201029.044How to use a DOI?
Keywords
Intelligent transport geographic information system, “ITSGIS”, infrastructure, network–centric management, strategic management solutions
Abstract

The article discusses the methodology of a system analysis of the formation of the infrastructure of intelligent management of transport processes with the scientific substantiation of strategic decisions in the intelligent transport geographic information system ITSGIS. A serious problem is the creation of integrated automated control systems, both for the entire transport infrastructure of the urbanized territory, which includes a street-road network, technical means for organizing traffic, traffic flows, and its individual facilities. Fundamentally new approaches are required to create integrated systems that simultaneously cover arrays of heterogeneous data and provide multi-level interaction of many subordinate complex subsystems, the construction of urban high-speed roads, the development of traffic flow management methods, including the use of intelligent transport systems. As a structural-parametric model problem, the problem of network-centric management of transport infrastructure (objects and processes) is implemented in the development of methods for managing transport objects and processes and the methods of conducting a simulation experiment as part of a designed decision support system for managing transport infrastructure in local areas of coordinated management. The described intellectual transport geographic information system “ITSGIS” is distinguished by the availability of developed means of supporting the simulation environment, which provide ease of modification and expansion of the range of research tasks based on patterns and neural networks. Within the framework of network-centric management, the tasks of stratified zonal control of transport processes have been solved: local control at the stage and intersection, coordinated management on highways with the development of control actions for various types of zoning of transport infrastructure. For large areas, from the point of view of the territory of the management area, coordinated management is divided into tasks of dividing the area into special zones and the operational formation of coordination programs for each of them, synchronization of coordination programs (provided that the control cycles are equal or multiple). The tasks of system management of objects and processes of the transport infrastructure are interconnected.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020)
Series
Advances in Intelligent Systems Research
Publication Date
10 November 2020
ISBN
10.2991/aisr.k.201029.044
ISSN
1951-6851
DOI
10.2991/aisr.k.201029.044How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - T.I. Mikheeva
AU  - S.V. Mikheev
AU  - A.I. Chugunov
PY  - 2020
DA  - 2020/11/10
TI  - Methodology for the Formation of the Infrastructure of Intelligent Management of Transport Processes
BT  - Proceedings of the 8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020)
PB  - Atlantis Press
SP  - 228
EP  - 232
SN  - 1951-6851
UR  - https://doi.org/10.2991/aisr.k.201029.044
DO  - 10.2991/aisr.k.201029.044
ID  - Mikheeva2020
ER  -