Generating a node in an AIS-based routing graph for improved Estimated Time of Arrival. (Big) Data challenge: using AIS for generating a routing graph

• Autorzy: Carsten Hilgenfeld , Nina Vojdani , Frank Heymann , Evamarie Wiessner , Bettina Kutschera , Chris Bünger
• Języki publikacji: EN

Abstrakty

EN

For the international exchange of goods, an exact estimated time of arrival (ETA), especially in case of delays, is of great importance. Using global data of the automatic identification system (AIS) a grid node is generated. The sum of such nodes and their connections form a routing graph. As an example, with one node of in total more than 100,000 nodes it is described how this point gets the maximum vessel length and draft assigned(original abstract)

Słowa kluczowe

EN

Big Data; Automatic identification systems (AIS); Supply chain; Logistics

PL

Big Data; System automatycznej identyfikacji; Łańcuch dostaw; Logistyka

• Czasopismo: Journal of Management and Financial Sciences
• Rocznik: 2019
• Tom: 12
• Numer: nr 36
• Strony: 45--56

Twórcy

autor

Carsten Hilgenfeld

• JAKOTA Cruise Systems GmbH FleetMon in Rostock, Germany

autor

Nina Vojdani

• University of Rostock, Germany

autor

Frank Heymann

• German Aerospace Center (DLR) Inst. Communications and Navigation in Neustrelitz, Germany

autor

Evamarie Wiessner

• German Aerospace Center (DLR) Institute of Transportation Systems in Berlin, Germany

autor

Bettina Kutschera

• DNV-GL GL Maritime Software GmbH in Rostock, Germany

autor

Chris Bünger

• JAKOTA Cruise Systems GmbH FleetMon in Rostock, Germany

Bibliografia

• Admiralty (2018). Retrieved from: www.admiralty.co.uk/charts/standard-nautical-charts [accessed: 14.12.2018].
• DLR (2018). Retrieved from: www.dlr.de/dlr/desktopdefault.aspx/tabid-10081/151_read- 8655/