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Distributed Approach to Traffic Management Automation Implemented According to IEC 61499
Institute of Computer Technologies and Information Security, Southern Federal University, Taganrog, Russia.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science. Department of Electrical Engineering and Automation, Aalto University, Aalto, Finland.ORCID iD: 0000-0002-9315-9920
2020 (English)In: Technological Innovation for Life Improvement: 11th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2020, Costa de Caparica, Portugal, July 1–3, 2020, Proceedings / [ed] Luis M. Camarinha-Matos, Nastaran Farhadi, Fábio Lopes, Helena Pereira, Springer, 2020, p. 159-167Conference paper, Published paper (Refereed)
Abstract [en]

The number of vehicles on public roads is increasing while the road infrastructure is not keeping up to this. It is necessary to apply advanced algorithms and approaches to transport management to maximize the use of the existing road network and increase the capacity of roads. In this article, we propose a way to control traffic flows and automate road infrastructure using a multi-agent approach. The proposed approach involves the distributed management of various elements on the road network and their direct relationship with each other in a peer to peer manner. To implement this concept, we used the open standard of distributed control and automation systems IEC 61499, and to validate the approach we used the SUMO - microscopic and continuous road traffic simulation package.

Place, publisher, year, edition, pages
Springer, 2020. p. 159-167
Series
IFIP Advances in Information and Communication Technology, ISSN 1868-4238, E-ISSN 1868-422X ; 577
Keywords [en]
Multi-agent system, IEC 61499, Traffic management, Intelligent transportation system, ITS, Traffic, Traffic jam
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-80819DOI: 10.1007/978-3-030-45124-0_15Scopus ID: 2-s2.0-85084795101OAI: oai:DiVA.org:ltu-80819DiVA, id: diva2:1468224
Conference
11th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS 2020), 1-3 July, 2020, Costa de Caparica, Protugal
Note

ISBN för värdpublikation: 978-3-030-45123-3, 978-3-030-45124-0

Available from: 2020-09-17 Created: 2020-09-17 Last updated: 2020-09-17Bibliographically approved

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Vyatkin, Valeriy

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