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Distributed Traffic Control Method Based on Interconnected Agents
Institute of Computer Technologies and Information Security, Southern Federal University, Chekhova. 2, 347900, Taganrog, Russia.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science. Department of Electrical Engineering and Automation, Aalto University, Otakaari 1B, 00076, Aalto, Finland.ORCID iD: 0000-0002-9315-9920
2021 (English)In: Informatics and Cybernetics in Intelligent Systems: Proceedings of 10th Computer Science On-line Conference 2021, Vol. 3 / [ed] Radek Silhavy, Springer Nature, 2021, p. 542-553Conference paper, Published paper (Refereed)
Abstract [en]

The use of distributed systems is a convenient approach to traffic management. Systems with a centralized architecture experience heavy loads on communication channels and key nodes and are also geographically separated from the point of control decision making, which can increase the number of faults or reduce the quality of the system. Distributed systems often rely on the interaction of local agents to communicate transport information and make decisions. The paper describes a method based on the principles of active motion control, the paradigm of the Internet of Things and the design of event-related automata models. The method will allow for the development and modification of adaptive transport control systems in the shortest possible time from a set of ready-made blocks connected.

Place, publisher, year, edition, pages
Springer Nature, 2021. p. 542-553
Series
Lecture Notes in Networks and Systems (LNNS), ISSN 2367-3370, E-ISSN 2367-3389 ; 228
Keywords [en]
Distributed systems, Intelligent transportation system, ITS, Traffic, Traffic jam, Traffic management
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-95193DOI: 10.1007/978-3-030-77448-6_53Scopus ID: 2-s2.0-85115821443OAI: oai:DiVA.org:ltu-95193DiVA, id: diva2:1725326
Conference
10th Computer Science On-line Conference (CSOC2021), Online, April, 2021
Note

Funder: RFBR;

ISBN for host publication: 978-3-030-77447-9; 978-3-030-77448-6

Available from: 2023-01-10 Created: 2023-01-10 Last updated: 2023-01-10Bibliographically approved

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Vyatkin, Valeriy

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