NDLI: A smart context-aware-oriented vehicle terminal system in logistics transportation

Content Provider	IEEE Xplore Digital Library
Author	Huiping Li Yi Zhou Chunlin Wan
Copyright Year	2012
Description	Author affiliation: Basic Experiment & Teaching Center, Henan University, Kaifeng, 475004, China (Huiping Li; Chunlin Wan) \|\| School of Computer and Information Engineering, Henan University, Kaifeng, 475004, China (Yi Zhou)
Abstract	Taking advantage of context aware computing, a novel vehicle terminal system is proposed to realize collaborative awareness, continuous monitoring and precise localization of vehicles for digital logistics. The integrated hardware and software design of the terminal system is presented, which merges together RFID, GPS and sensor technologies based on embedded systems. We use the ultra-low power 16-bit RISC mixed-signal microcontroller as the central control unit considering both small size and high efficiency. The intelligent vehicle terminal can provide mainly the automatic identification of a chauffeur and cargos, the real-time vehicle localization, personalized context-aware, the data and voice communication, and remote centralized monitoring as well. Testing and analysis results indicate that the integration of RFID, GPS and context sensors can enhance the reliability of the smart terminal, which further improve the accuracy, intelligence and efficiency of digital logistics vehicular management.
Starting Page	493
Ending Page	497
File Size	681584
Page Count	5
File Format	PDF
ISBN	9781467326988
e-ISBN	9781467326995
e-ISBN	9781467326971
DOI	10.1109/ChinaCom.2012.6417533
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-08
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context context sensors context-aware RFID GPS context-aware middleware Monitoring Vehicles Radiofrequency identification Global Positioning System Context modeling Logistics
Content Type	Text
Resource Type	Article

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