Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

PL EN


2019 | 36 | 45-56

Article title

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

Content

Title variants

Languages of publication

Abstracts

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.

Keywords

EN

Year

Issue

36

Pages

45-56

Physical description

Dates

published
2019

Contributors

  • JAKOTA Cruise Systems GmbH, FleetMon in Rostock, Germany
author
  • University of Rostock, Germany
author
  • Inst. Communications and Navigation in Neustrelitz, Germany
  • Institute of Transportation Systems in Berlin, Germany
  • GL Maritime Software GmbH in Rostock, Germany
author
  • JAKOTA Cruise Systems GmbH, FleetMon in Rostock, Germany

References

  • 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/#/gallery/12860 [accessed: 14.12.2018].
  • Felski, A., Jaskolski, K., Banys, P. (2015). Comprehensive Assessment of Automatic Identifica-tion System (AIS) Data Application to Anti-collision Manoeuvring. The Journal of Navigation, Vol. 68, Iss. 4, July, pp. 697–717.4.
  • Flitsch, C, Kastner, K., Bósa, K., Neubauer, M. (2018). Calibrating Traffic Simulation Models in SUMO Based upon Diverse Historical Real-Time Traffic Data – Lessons Learned in ITS Upper Austria. SUMO 2018 – Simulating Autonomous and Intermodal Transport Systems, 14–16 May, Berlin.
  • Gidado, U. (2015). Developing Country Studies, Consequences of Port Congestion on Logistics and Supply Chain in African Ports. Vol. 5, No. 6, Lagos, Nigeria. Retrieved from: www.iiste.org [accessed: 14.12.2018]
  • Heymann, F., Noack, T., Banys, P. (2013). Plausibility analysis of navigatin related AIS para-meter based on time series. ENC2013 The European Navigation Conference, April 23–25, Vienna, Austria.
  • International Marine Electronics Association, IMEA (2018). NMEA 0183 V.4.1.1 Standard for Interfacing Marine Electronic Devices.
  • Loh, H. S., Thai V. W. (2015). Cost Consequences of a Port-Related Supply Chain Disruption. The Asian Journal of Shipping and Logistics, Vol. 31, Iss. 3, September, pp. 319–340.
  • Mestl, T., Dausendschön, K., (2016). Port ETA Prediction based on AIS Data.15th International Conference on Computer and IT Applications in the Maritime Industries, Lecce, 9–11 May.
  • Pallotta, G., Vespe, M., Bryan, K. (2013). Vessel Pattern Knowledge Discovery from AIS Data: A Framework for Anomaly Detection and Route Prediction. NATO Science and Technology Organization (STO), Centre for Maritime Research and Experimentation (CMRE), 15 (6), pp. 2218–2245.
  • Raymond, E. S. (2016). AIVDM/AIVDO Protocol Decoding: AIS-NMEA-Msg Typs, Coding and Interpretation. Retrieved from: http://catb.org/gpsd/AIVDM.html [accessed: 01.07.2018].
  • RFT (2018). Retrieved from: https://projects.interreg-baltic.eu/projects/rtf-150.html [accessed: 17.07.2018].
  • SSSPA (2018). Szczecin and Swinoujscie Seaports Authority S. A. Retrieved from: www.port.szczecin.pl/en [accessed: 01.07.2018].
  • Toth, P., Vigo, D. (2014). Vehicle Routing – Problems, Methodes and Applications., ISBN: 978-1-611973-58-7, SIAM – series on optimization. New York, United States: Society for Industrial and Applied Mathematics.
  • Vojdani, N., Ahn, M., Hilgenfeld, C. (2015). Aufbereitung von AIS-Daten der WSV-N für die Simulation von Seeverkehrssystemen. [EN: Preparation of AIS Data of the WSV-N for Simulation of traffic in marine systems]. Workshop der ASIM/GI-Fachgruppen. 18–19 June, Stralsund, Germany. ISBN: 978–3-9813334-9–7.

Document Type

Publication order reference

Identifiers

Biblioteka Nauki
18739147

YADDA identifier

bwmeta1.element.ojs-doi-10_33119_JMFS_2019_36_3
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.