Garcia Zuazola, Ignacio Julio, Moreno, Asier, Ziai, Mohamed A., Sainz, Nekane, Angulo, Ignacio, Landaluce, Hugo, Elmirghani, J.M.H., Batchelor, John C., Hernández-Jayo, Unai, Perallos, Asier and others. (2013) Telematics system for the intelligent transport and distribution of medicines. IET Intelligent Transport Systems, 7 (1). pp. 131-137. ISSN 1751-956X. (doi:10.1049/iet-its.2012.0017) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:35685)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://dx.doi.org/10.1049/iet-its.2012.0017 |
Abstract
A growing demand for well-defined telematics systems in the intelligent transport distribution of pharmaceutical drugs is envisaged driven by legislative demands to enable the safe handling of medicines in automotive distributions. The provision is accomplished by providing virtual intelligence to vehicles designated for this form of smart freight transportation. The system provides anytime/anywhere assets tracking while on the move, from departure to destination, supporting reliable courier operation at low labour. The tracking and tracing system provides the vehicle with sufficient intelligence to: be located remotely, track and trace assets and provide incidence reports. The authors?? architecture is intended to automatically broadcast adaptive logistic-distribution-plans between a central office and a vehicle. The proposed system represents an inexpensive and non-intrusive solution that exploits advanced technologies such as smart environment sensing, radio frequency identification, Wireless Fidelity (WiFi) and global positioning system, to support modern industrial needs. The authors describe and discuss the motivation and the benefits of using the system, including new hardware and software developments.
Item Type: | Article |
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DOI/Identification number: | 10.1049/iet-its.2012.0017 |
Subjects: | T Technology |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | John Batchelor |
Date Deposited: | 28 Oct 2013 11:10 UTC |
Last Modified: | 16 Nov 2021 10:12 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/35685 (The current URI for this page, for reference purposes) |
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