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IoT in Traffic Management: Review of Existing Methods of Road Traffic Regulation
Southern Federal University, Institute of Computer Technologies and Information Security, 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: Applied Informatics and Cybernetics in Intelligent Systems: Proceedings of the 9th Computer Science On-line Conference 2020, Volume 3 / [ed] Radek Silhavy, Springer Nature, 2020, p. 536-551Conference paper, Published paper (Refereed)
Abstract [en]

Internet of Things (IoT) is an important upcoming technology for making infrastructures of our society smart and adaptable to the users’ needs. One such infrastructure is transportation. This article discusses existing methods and algorithms for automated management of traffic flows with a purpose of identifying hot spots and methods for applying IoT in this sector. Advantages and disadvantages of the existing methods are discussed, including evaluation of their effectiveness.
Place, publisher, year, edition, pages
Springer Nature, 2020. p. 536-551
Series
Advances in Intelligent Systems and Computing, ISSN 2194-5357, E-ISSN 2194-5365 ; 1226
Keywords [en]
IoT, 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-80647DOI: 10.1007/978-3-030-51974-2_50Scopus ID: 2-s2.0-85089628050OAI: oai:DiVA.org:ltu-80647DiVA, id: diva2:1463199
Conference
9th Computer Science On-line Conference 2020 (CSOC 2020), April, 2020, On-line
Note

ISBN för värdpublikation: 978-3-030-51973-5, 978-3-030-51974-2

Available from: 2020-09-01 Created: 2020-09-01 Last updated: 2020-09-01Bibliographically approved

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Vyatkin, Valeriy

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