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Digital
Library of the European Council for Modelling and Simulation |
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Title: |
Behavior Tree Based Knowledge Reasoning For Intelligent Vessels In
Maritime Traffic Simulations |
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Authors: |
Volker
Golluecke, Daniel Lange, Axel Hahn, Soeren Schweigert |
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Published in:
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(2018). ECMS 2018
Proceedings Edited by: Lars Nolle, Alexandra
Burger, Christoph Tholen,
Jens Werner, Jens Wellhausen European Council for
Modeling and Simulation. doi:
10.7148/2018-0005 ISSN:
2522-2422 (ONLINE) ISSN:
2522-2414 (PRINT) ISSN:
2522-2430 (CD-ROM) 32nd European Conference on Modelling and Simulation, Wilhelmshaven, Germany, May 22nd
– May 265h, 2018 |
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Citation
format: |
Volker
Golluecke, Daniel Lange, Axel Hahn, Soeren Schweigert (2018).
Behavior Tree Based Knowledge Reasoning For Intelligent Vessels In Maritime
Traffic Simulations, ECMS 2018 Proceedings
Edited by: Lars Nolle, Alexandra Burger, Christoph Tholen, Jens Werner,
Jens Wellhausen European Council for Modeling and
Simulation. doi:
10.7148/2018-0105 |
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DOI: |
https://doi.org/10.7148/2018-0105 |
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Abstract: |
For
simulation based verification and validation (V&V) of maritime system
designs, the system under analysis is exposed to a variety of traffic
scenarios. Usually bridge and shipping simulators do not provide intelligent
behavior for the simulated ships. Instead, they use simple route following
techniques, or just follow a given direction. In automated V&V scenarios,
a lot of different simulation runs must be executed e.g. to test new
assistance systems in various situations. To cover the needed number of
important situations, an automated behavior of target ships is needed. This
paper presents a technique to configure and calculate realistic and
intelligent ship behavior. Each ship has its own knowledge about the
environment and uses this knowledge to decide what kind of behavior the ship
shows using the Behavior Tree technique. |
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