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Agent-Based Approach to Ship Officer’s Navigational Behavior Modeling for Maritime Traffic Analysis

Authors
Kim, H.Yang, Y.Hong, S.-K.
Issue Date
2020
Publisher
Springer
Keywords
Agent-based simulation; Behavior model; Cognitive model; Human element; Maritime traffic analysis
Citation
Advances in Intelligent Systems and Computing, v.1212 AISC, pp 483 - 489
Pages
7
Journal Title
Advances in Intelligent Systems and Computing
Volume
1212 AISC
Start Page
483
End Page
489
URI
https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/8333
DOI
10.1007/978-3-030-50943-9_61
ISSN
2194-5357
Abstract
Modeling and simulation of a system, such as maritime traffic, with high complexity and a wide range of requirements including ships, navigators, control centers, shipping companies, meteorological systems, and geographic information systems requires human involvement. For maritime traffic simulation in a digital environment, modeling of human factors, a major element, is necessary, and for the reproduction and prediction of realistic maritime traffic situations, it is reasonable to model and reflect the navigator’s cognitive processes, behavior patterns, navigational expertise, navigational errors, etc. To develop an intelligent ship agent for maritime traffic analysis, we will analyze the navigator’s ship navigation-related cognition and behavior, and introduce the status of the development of an agent-based cognitive and behavioral model as similar to the navigator’s behavior. ? 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
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해양공공디지털연구본부 (해사디지털서비스연구센터)
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