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Low-Power Wide-Area Networks in Intelligent Transportation: Review and Opportunities for Smart-Railways
Linnaeus University, Växjö, Sweden.
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation. Linnaeus University, Växjö, Sweden.ORCID iD: 0000-0002-2833-7196
University of Naples Federico Ii, Naples, Italy.
University Mediterranea of Reggio Calabria, Reggio Calabria, Italy.
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2020 (English)In: 2020 IEEE 23rd International Conference on Intelligent Transportation Systems, ITSC 2020, Institute of Electrical and Electronics Engineers Inc. , 2020Conference paper, Published paper (Refereed)
Abstract [en]

Technology development in the field of the Internet of Things (IoT) and more specifically in Low-Power Wide-Area Networks (LPWANs) has enabled a whole set of new applications in several fields of Intelligent Transportation Systems. Among all, smart-railways represents one of the most challenging scenarios, due to its wide geographical distribution and strict energy-awareness. This paper aims to provide an overview of the state-of-the-art in LPWAN, with a focus on intelligent transportation. This study is part of the RAILS (Roadmaps for Artificial Intelligence integration in the raiL Sector) research project, funded by the European Union under the Shift2Rail Joint Undertaking. As a first step to meet its objectives, RAILS surveys the current state of development of technology enablers for smart-railways considering possible technology transfer from other sectors. To that aim, IoT and LPWAN technologies appear as very promising for cost-effective remote surveillance, monitoring and control over large geographical areas, by collecting data for several sensing applications (e.g., predictive condition-based maintenance, security early warning and situation awareness, etc.) even in situations where power supply is limited (e.g., where solar panels are employed) or absent (e.g., installation on-board freight cars).

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2020.
Keywords [en]
Cost effectiveness, Geographical distribution, Intelligent systems, Intelligent vehicle highway systems, Internet of things, Low power electronics, Network security, Railroads, Technology transfer, Condition based maintenance, Intelligence integration, Intelligent transportation, Intelligent transportation systems, Internet of thing (IOT), Monitoring and control, Sensing applications, Technology development, Wide area networks
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-53484DOI: 10.1109/ITSC45102.2020.9294535ISI: 000682770702039Scopus ID: 2-s2.0-85099650309ISBN: 9781728141497 (print)OAI: oai:DiVA.org:mdh-53484DiVA, id: diva2:1529676
Conference
23rd IEEE International Conference on Intelligent Transportation Systems, ITSC 2020, 20 September 2020 through 23 September 2020
Available from: 2021-02-19 Created: 2021-02-19 Last updated: 2022-02-22Bibliographically approved

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Flammini, Francesco

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