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

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Carsten Hilgenfeld
Nina Vojdani
Frank Heymann
Evamarie Wiessner
Bettina Kutschera
Chris Bünger

Abstract

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.

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How to Cite
Hilgenfeld, C., Vojdani, N., Heymann, F., Wiessner, E., Kutschera, B., & Bünger, C. (2019). 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. Journal of Management and Financial Sciences, (36), 45–56. https://doi.org/10.33119/JMFS.2019.36.3
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