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Politechnika Morska w Szczecinie

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Author Vaňek, Ondřej
Affiliation Czech Technical University in Prague, Faculty of Electrical Engineering, Department of Computer Science 2 Technicka St., Praha 6, Czech Republic
E-mail vanek@agents.fel.cvut.cz
Author Hrstka, Ondřej
Affiliation Czech Technical University in Prague, Faculty of Electrical Engineering, Department of Computer Science 2 Technicka St., Praha 6, Czech Republic
E-mail hrstka@agents.fel.cvut.cz
Author Kopřiva, Štěpán
Affiliation Czech Technical University in Prague, Faculty of Electrical Engineering, Department of Computer Science 2 Technicka St., Praha 6, Czech Republic
E-mail kopriva@agents.fel.cvut.cz
Author Faigl, Jan
Affiliation Czech Technical University in Prague, Faculty of Electrical Engineering, Department of Computer Science 2 Technicka St., Praha 6, Czech Republic
E-mail faigl@blindspot-solutions.com
Author Pěchouček, Michal
Affiliation Czech Technical University in Prague, Faculty of Electrical Engineering, Department of Computer Science 2 Technicka St., Praha 6, Czech Republic
E-mail pechoucek@blindspot-solutions.com
ISSN printed 1733-8670
URI https://repository.am.szczecin.pl/handle/123456789/770
Abstract Contemporary maritime shipping is subject to a large number of constraints given by tight shipping schedules and very low margins. Additionally, problematic areas with increased security needs dynamically changing in time, combined with seasonal oceanographic and meteorological conditions pose a challenging voyage planning problem. In this work we present a risk-aware voyage planner taking into account spatio-temporal environmental conditions. The planner is based on a graph-based search algorithm A*. We discretize the required area into a graph, we store various layers of information into the edges of the graph (such as risk and weather conditions) in a form of numeric weights and we define a bi-objective planning problem with a tradeoff between security and duration of the voyage. The nature of the algorithm guarantees a complete and optimal solution in a form of an optimized voyage with respect to the criterion function composed of the two weighted components, i.e, duration and security of the voyage. We demonstrate the approach on our area of interest: Indian Ocean. We use NATO piracy activity risk surface as the risk layer and we compute all transit voyages between relevant routing points in the area. Finally, thanks to the discretization of the problem, we are able to integrate corridors imposed by the shipping authorities and evaluate additional what-if scenarios with extended corridor systems. The resulting planner is exposed to the public using a web service with an easy interface requiring start time of the voyage and the origin and the destination point of voyage. Combined with an expressive visualization, this tool demonstrates the capabilities of the proposed solution.
Pages 115-124
Publisher Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Akademia Morska w Szczecinie
Keywords modeling
Keywords optimization
Keywords risk analysis
Keywords maritime piracy
Keywords risk-aware planning
Keywords FTA
Title Bi-objective maritime route planning in pirate-infested waters
Type Original scientific article
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ISSN on-line 2392-0378
Language English
Funding The research presented in this paper was supported by the Office of Naval Research grant No. N000140910537, by the Office of Naval Research grant No. N62909-14-1-N231 and by the Czech Science Foundation (GAČR) under research project No. 13-18316P.
Figures 10
Tables 0
DOI 10.17402/046
Published 2015-09-10
Accepted 2015-08-09
Recieved 2015-07-15


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