US 11,810,058 B2
Carrier path prediction based on dynamic input data
Ioannis Martinos, Athens (GR); Dimitrios Tasoulis, Athens (GR); Michail Epitropakis, Athens (GR); Roussos Paschopoulos, Athens (GR); and Emilio Frazzoli, Boston, MA (US)
Assigned to Signal Ocean Ltd, London (GB)
Filed by Signal Ocean Ltd, London (GB)
Filed on Apr. 12, 2021, as Appl. No. 17/228,452.
Application 17/228,452 is a continuation of application No. 16/000,641, filed on Jun. 5, 2018, granted, now 10,977,605.
Prior Publication US 2021/0233026 A1, Jul. 29, 2021
Int. Cl. G06F 17/00 (2019.01); G06Q 10/0835 (2023.01); H04L 67/10 (2022.01); G06F 16/29 (2019.01); B63B 79/40 (2020.01)
CPC G06Q 10/08355 (2013.01) [H04L 67/10 (2013.01); B63B 79/40 (2020.01); G06F 16/29 (2019.01)] 21 Claims
OG exemplary drawing
 
1. A computer-implemented method for generating an interface from information associated with carriers comprising:
obtaining a set of carrier information for individual identifiable vessels;
forming a plurality of skeleton scenario paths for the individual identifiable vessels from the set of carrier information wherein each skeleton scenario path of the plurality of skeleton scenario paths for the individual identifiable vessels is defined by one or more anchor points formed from different carrier information;
automatically combining the plurality of skeleton scenario paths to form a plurality of target paths for the individual identifiable vessels, wherein the plurality of skeleton scenario paths are combined according to common anchor points;
generating a ranked list of the plurality of target paths for the individual identifiable vessels based on application of a scoring function; and
for defined locations, generating an interface responsive to a request for carrier planning and information source identification identifying a value indicator associated with a density of at least subset of individual identifiable vessels.