Low-Power Wide-Area Networks in Intelligent Transportation: Review and Opportunities for Smart-Railways
| Autor: | Dirnfeld, Ruth, Flammini, Francesco, Marrone, Stefano, Nardone, Roberto, Vittorini, Valeria |
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| Přispěvatelé: | Dirnfeld, Ruth, Flammini, Francesco, Marrone, Stefano, Nardone, Roberto, Vittorini, Valeria |
| Jazyk: | angličtina |
| Předmět: |
LPWAN
Warning system Situation awareness Computer science business.industry 020206 networking & telecommunications 02 engineering and technology 7. Clean energy Field (computer science) Wide area 13. Climate action Information and Communications Technology Rail transportation 0202 electrical engineering electronic engineering information engineering media_common.cataloged_instance 020201 artificial intelligence & image processing European union Telecommunications business Intelligent transportation system Wireless sensor network media_common |
| Zdroj: | 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) Microsoft Academic Graph ITSC |
| DOI: | 10.1109/itsc45102.2020.9294535 |
| Popis: | 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). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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