2016
DOI: 10.5194/gmd-9-1597-2016
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VISIR-I: small vessels – least-time nautical routes using wave forecasts

Abstract: Abstract. A new numerical model for the on-demand computation of optimal ship routes based on sea-state forecasts has been developed. The model, named VISIR (discoVerIng Safe and effIcient Routes) is designed to support decision-makers when planning a marine voyage. The first version of the system, VISIR-I, considers medium and small motor vessels with lengths of up to a few tens of metres and a displacement hull. The model is comprised of three components: a route optimization algorithm, a mechanical model of… Show more

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Cited by 45 publications
(59 citation statements)
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“…where δx is the edge length. The weights δt are then employed for the computation of a time-dependent shortest path, through the same graph search method described in Mannarini et al (2016a) and updated in this manuscript in Sect. 2.4.…”
Section: Resulting Kinematicsmentioning
confidence: 99%
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“…where δx is the edge length. The weights δt are then employed for the computation of a time-dependent shortest path, through the same graph search method described in Mannarini et al (2016a) and updated in this manuscript in Sect. 2.4.…”
Section: Resulting Kinematicsmentioning
confidence: 99%
“…
VISIR-I.b, the latest development of the ship routing model published in Mannarini et al (2016a), is here presented.The new model version targets large ocean-going vessels by accounting for both waves and ocean currents. In order to effectively use currents in a graph-search method, new equations are derived and validated versus analytical benchmarks.A case study is computed in the Atlantic Ocean, on a route from the Chesapeake Bay to the Mediterranean Sea and vice versa.Ocean analysis fields from data-assimilative models (for both ocean state and hydrodynamics) are employed.
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mentioning
confidence: 99%
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“…The data concatenation is performed across the time variable. The wind and current data at sea are extrapolated the ocean data towards the coast using a procedure called SeaOverLand (De Dominicis et al, 2013;Mannarini et al, 2016a), which performs an extrapolation of the original data considering for each cell grid point an average of the eight nearest values and then doing different iterations. This procedure optimally fills, for the currents, the gaps that remain between the ocean model domain and the high-resolution coastline.…”
Section: The Ocean-sar Operational Systemmentioning
confidence: 99%
“…Projects in this field generally support well-defined scenarios, like oil spill (Zodiatis et al, 2016) or ship routing (Mannarini et al, 2016a). In those cases, stand-alone clients (like mobile apps) or dynamic websites are created and maintained in order to allow the stakeholders to use the service.…”
Section: Scalas Et Al: Tessa: Design and Implementation Of A Platmentioning
confidence: 99%