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Presentation . 2019
License: CC BY
Data sources: Datacite
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ZENODO
Presentation . 2019
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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Other literature type . 2019
License: CC BY
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A computational framework for the safe movement of Automated Straddle Carriers in ports

Authors: Georgios Tsaples; Georgia Aifandopoulou; Josep Maria Salanova Grau;

A computational framework for the safe movement of Automated Straddle Carriers in ports

Abstract

Automated Straddle Carriers (ASCs) are in the forefront of port automation and are increasingly used to move containers efficiently. The purpose of this article is the development of a computational framework to investigate the effects of the introduction of Automated Straddle Carriers in ports, both from an operational and a strategic level. The framework contains a fleet management algorithm that performs assignment, route optimization and collision avoidance and its results are used to calculate metrics that are further used as an input to a simulation model. Several scenarios are simulated on both parts of the framework and the main results illustrate that port automation should not be solely focused on automated straddle carriers, but should include automation in all processes of the port to fully exploit the benefits.

Keywords

Automated Straddle Carriers, Simulation, Optimization, Fleet Management, Port Operations

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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