Modeling Missing Maritime Objects Using an Agent Based Model

Jarrod Grewe, Igor Griva

2024

Abstract

Accurate modeling the movement and behaviors of missing persons and vessels is critical in their finding and rescuing in maritime environments. Current methods focus on using particle techniques that model several factors including leeway and drift but lack the ability to model human factors and behaviors. This research explores the idea of using an agent-based approach to model missing objects with the goal of developing a methodology that accounts for missing person behavior in a maritime domain. This new approach leads to a more accurate missing persons movement trajectories and results in finding better search plans. The results show that an agent-based model can consider environmental elements, behavioral factors, and hazards when modeling target movement in a maritime domain which is critical in missing object modeling. The developed approach also shows how an agent-based model can help find optimal search plans.

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Paper Citation


in Harvard Style

Grewe J. and Griva I. (2024). Modeling Missing Maritime Objects Using an Agent Based Model. In Proceedings of the 13th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES; ISBN 978-989-758-681-1, SciTePress, pages 236-244. DOI: 10.5220/0012317300003639


in Bibtex Style

@conference{icores24,
author={Jarrod Grewe and Igor Griva},
title={Modeling Missing Maritime Objects Using an Agent Based Model},
booktitle={Proceedings of the 13th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES},
year={2024},
pages={236-244},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012317300003639},
isbn={978-989-758-681-1},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES
TI - Modeling Missing Maritime Objects Using an Agent Based Model
SN - 978-989-758-681-1
AU - Grewe J.
AU - Griva I.
PY - 2024
SP - 236
EP - 244
DO - 10.5220/0012317300003639
PB - SciTePress