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Low-Power Wide-Area Networks in Intelligent Transportation : Review and Opportunities for Smart-Railways

Dirnfeld, Ruth (författare)
Linnéuniversitetet,Institutionen för datavetenskap och medieteknik (DM),Linnaeus University, Växjö, Sweden
Flammini, Francesco, Senior Lecturer, 1978- (författare)
Mälardalens högskola,Linnéuniversitetet,Institutionen för datavetenskap och medieteknik (DM),Mälardalen University, Sweden,Innovation och produktrealisering,Linnaeus University, Växjö, Sweden
Marrone, Stefano (författare)
University of Naples Federico Ii, Naples, Italy
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Nardone, Roberto (författare)
University Mediterranea of Reggio Calabria, Reggio Calabria, Italy
Vittorini, Valeria (författare)
University of Naples Federico Ii, Naples, Italy
visa färre...
 (creator_code:org_t)
IEEE, 2020
2020
Engelska.
Ingår i: 2020 IEEE 23rd International Conference on Intelligent Transportation Systems, ITSC 2020. - : IEEE. - 9781728141497 - 9781728141503 ; , s. 1-7
  • Konferensbidrag (refereegranskat)
Abstract Ämnesord
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  • 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). © 2020 IEEE.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Samhällsbyggnadsteknik -- Transportteknik och logistik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Civil Engineering -- Transport Systems and Logistics (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Maskinteknik -- Energiteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering -- Energy Engineering (hsv//eng)

Nyckelord

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
Data- och informationsvetenskap
Computer and Information Sciences Computer Science

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