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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/12178

Title: Automatic real-time speed limit warning based on radio frequency identification
Authors: Yang, Huanjia
Yang, Shuang-Hua
Wu, Mianhong
Yang, Yongming
Keywords: RFID
Speed limit
Driver assistant system
Issue Date: 2013
Publisher: © Inderscience Enterprises Ltd.
Citation: YANG, H. ... et al, 2013. Automatic real-time speed limit warning based on radio frequency identification. International Journal of Advanced Mechatronic Systems, 4 (5/6), pp.269-279.
Abstract: An in–vehicle automatic speed limit warning system can help to prevent a significant number of speeding, which is one of the major causes of road accidents. However, current systems ae not providing satisfactory and consistent performance. This paper seeks to design speed limit reading system based on radio frequency identification (RFID) technologies for two different types of deployment, large scale permanent deployment and small scale temporary deployment. The aim of the designs is to provide a reliable and affordable solution for future driver warning systems or autonomous vehicle control systems to retrieve the speed limit information from roadside without involving any upper link services. For the system designs, we identified and tackled three primary issues, which are the tag location and deployment pattern for passive RFID adoption and the tag confusion in active RFID adoption. A prototype system was developed and validated in both laboratory test and an on–road field–trial.
Description: This article was accepted for publication in the International Journal of Advanced Mechatronic Systems [© Inderscience Enterprises Ltd].
Version: Accepted for publication
DOI: 10.1504/IJAMECHS.2012.052222
URI: https://dspace.lboro.ac.uk/2134/12178
Publisher Link: http://dx.doi.org/10.1504/IJAMECHS.2012.052222
ISSN: 1756-8412
Appears in Collections:Published Articles (Computer Science)

Files associated with this item:

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IJAMech RFID Speed limit reading final draft.pdfAccepted version1.1 MBUnknownView/Open
CoverforPDF.pdf27.64 kBAdobe PDFView/Open


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