Abstract
Ships’ estimated arrival times command an optimized port call and thus the heartbeat of every sea port. Various factors influence the waiting times of vessels at anchorage. Occupied berths or tide dependencies are just some of the factors leading to long waiting times before entering the port. Terminal operators cannot allocate the berths efficiently and hinterland transports cannot plan ahead due to the often times incorrect information regarding vessels’ time of arrival. To reduce these problems with regard to an optimized port call, a prediction model for the maritime traffic situation in the German North and Baltic Sea is developed to determine future ship positions and, in particular, arrival times. Within this paper, the accelerated research project as well as its benefits for port call optimization are presented.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Vessel Traffic - Vorhersage Informationsdienst (Vessel Traffic Prediction Information Service).
- 2.
Investitionsförderbank.
References
Abramowski, T.: Application of artifical neural networks to assessment of ship manoeuvrability qualities. Pol. Marit. Res. 15(2), 15–21 (2008). Szczecin University of Technology, Poland
Hafen Hamburg Marketing: Calls at the Port of Hamburg (2017). https://www.hafen-hamburg.de/en/calls-at-the-port-of-hamburg. Accessed 29 Aug 2017
Haraldson, S.: Digitalization of sea transports - enabling sustainable multi-modal transports. In: Twenty-First Americas Conference on Information Systems, Fajardo, Puerto Rico, August 2015 (2015)
Harati-Mokhtari, A., Wall, A., Brooks, P., Wang, J.: Automatic Identification System (AIS): A Human Factors Approach (2008). Liverpool John Mores University, United Kingdom and Chabahar Maritime University, Iran
International Maritime Organization: International Convention for the Safety of Life at Sea, 4th edn. London (2004)
International Telecommunication Union: Technical characteristics for an automatic identification system using time division multiple access in the VHF maritime mobile frequency band, Recommendation ITU-R M.1371-5, February 2014. http://www.itu.int/rec/R-REC-M.1371-5-201402-I. Accessed 31 Aug 2017
Jahn, C., Burmeister, H.-C., John, O.: Potential of on board information systems for ashore ship management and logistics processes. In: Proceedings of the International Symposium “Information on Ships” (ISIS), Hamburg, Germany, August 2012 (2012)
Jahn, C., Saxe, S.: Digitalization of Seaports - Visions of the Future. Fraunhofer CML, Fraunhofer Verlag, Munich, Germany (2017)
Port of Rotterdam: Port Call Optimisation (2017). https://www.portofrotterdam.com/en/business-opportunities/smartest-port/cases/port-call-optimisation. Accessed 30 Aug 2017
Pahl, J., Voß, S.: Maritime load dependent lead times - an analysis. In: LNCS, pp. 300–305. Springer, Cham (2017)
Scheidweiler, T., Bruhn, W.C., Jahn, C.: Maritime traffic forecast: analysis of influencing factors and methodological approach. In: Proceedings of the 2016 2nd International Symposium “Information on Ships” (ISIS), Hamburg, Germany, August 2016 (2016)
Shanmuganthan, S., Samarasinghe, S.: Artificial Neural Network Modelling. Springer, Heidelberg (2016)
TRENZ AG: Real-ETA, ETA-Berechnung für Schiffe in Echtzeit, Bremen (2017). https://www.real-eta.com/. Accessed 13 Sep 2017
World Maritime News: Boxship Waiting Time Shortest in Busan, Hong Kong and Ningbo, 13 November 2015 (2015). http://worldmaritimenews.com/archives/176445/boxship-waiting-time-shortest-in-busan-hong-kong-and-ningbo/. Accessed 31 Aug 2017
Acknowledgements
The presented research was partially funded by the Investitionsförderbank Hamburg (IFB) within the project VESTVIND at Fraunhofer CML. We like to thank our project partners from the TRENZ AG for the great cooperation and discussions as well as for the provision of AIS data.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Jahn, C., Scheidweiler, T. (2018). Port Call Optimization by Estimating Ships’ Time of Arrival. In: Freitag, M., Kotzab, H., Pannek, J. (eds) Dynamics in Logistics. LDIC 2018. Lecture Notes in Logistics. Springer, Cham. https://doi.org/10.1007/978-3-319-74225-0_23
Download citation
DOI: https://doi.org/10.1007/978-3-319-74225-0_23
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-74224-3
Online ISBN: 978-3-319-74225-0
eBook Packages: EngineeringEngineering (R0)