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ZENODO
Other literature type . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2023
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2023
License: CC BY
Data sources: Datacite
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Enabling end-to-end freight transport visibility using 5G technology: the case of the FOR-FREIGHT Project

Authors: Andreas, Gavrielides;

Enabling end-to-end freight transport visibility using 5G technology: the case of the FOR-FREIGHT Project

Abstract

The Transport & Logistics sector is one of the most prominent business sectors which the wide adoption of 5G cellular communications is expected to impact. The need for enhanced visibility and transparency during the execution of end-to-end logistics processes and freight transport enforces stakeholders to invest more and more in installing 5G in their businesses. In this context, the FOR-FREIGHT project targets to provide end-to-end optimization of multi-modal logistics and improved access to transshipment services through the adoption of 5G-enabled functionalities. This paper outlines the project alongside its realworld use cases, as well as an update of the progress made so far. The preliminary analysis presents the main areas of application and the expected benefits that will derive from the implementation of 5G technology in FOR-FREIGHT’s trials. In addition, correlations with other projects and potentially reusable (by FOR-FREIGHT) technologies implemented on them are identified. Moreover, an analysis of the “pain points” and the implementation barriers is conducted, regarding the installation of proper 5G connectivity in the project’s end-to-end scenarios.

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citations
The total number of citations received by all articles of the researcher of interest.
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green