Road surface networks technology enablers for enhanced ITS
2010 (English)In: 2010 IEEE Vehicular Networking Conference, VNC 2010: Jersey City, NJ ; 13-15 Dec 2010, Piscataway, NJ: IEEE Communications Society, 2010, 152-159 p.Conference paper (Refereed)
The increased need for mobility has led to transportation problems like congestion, accidents and pollution. In order to provide safe and efficient transport systems great efforts are currently being put into developing Intelligent Transport Systems (ITS) and cooperative systems. In this paper we extend proposed solutions with autonomous on-road sensors and actuators forming a wireless Road Surface Network (RSN). We present the RSN architecture and design methodology and demonstrate its applicability to queue-end detection. For the use case we discuss the requirements and technological solutions to sensor technology, data processing and communication. In particular the MAC protocol is detailed and its performance assessed through theoretical verification. The RSN architecture is shown to offer a scalable solution, where increased node density offers more precise sensing as well as increased redundancy for safety critical applications. The use-case demonstrates that RSN solutions may be deployed as standalone systems potentially integrated into current and future ITS. RSN may provide both easily deployable and cost effective alternatives to traditional ITS (with a direct impact independent of penetration rate of other ITS infrastructures - i.e., smart vehicles, safe spots etc.) as well as provide fine grain sensory information directly from the road surface to back-end and cooperative systems, thus enabling a wide range of ITS applications beyond current state of the art.
Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2010. 152-159 p.
Research subject Control Engineering; Industrial Electronics; Embedded System; Dependable Communication and Computation Systems
IdentifiersURN: urn:nbn:se:ltu:diva-34400DOI: 10.1109/VNC.2010.5698240ScopusID: 79951800985Local ID: 894dac40-f0b5-11df-8b36-000ea68e967bISBN: 978-1-4244-9526-9 (PDF)OAI: oai:DiVA.org:ltu-34400DiVA: diva2:1007651
IEEE Vehicular Networking Conference : 13/12/2010 - 15/12/2010
Godkänd; 2010; 20101115 (lauril)2016-09-302016-09-30Bibliographically approved