KJCKorea
Journal Central

@article{ART003259754},
author={Taemin Hwang and Sung-Cheol Kim},
title={A Data-Driven Collision Avoidable Area Estimation Model for MASS},
journal={Journal of Internet of Things and Convergence},
issn={2466-0078},
year={2025},
volume={11},
number={5},
pages={239-245},
doi={10.20465/KIOTS.2025.11.5.239}

TY - JOUR
AU - Taemin Hwang
AU - Sung-Cheol Kim
TI - A Data-Driven Collision Avoidable Area Estimation Model for MASS
JO - Journal of Internet of Things and Convergence
PY - 2025
VL - 11
IS - 5
PB - The Korea Internet of Things Society
SP - 239
EP - 245
SN - 2466-0078
AB - Autonomous ships primarily navigate via autonomous navigation systems, with remote operators intervening in critical situations. Such interventions typically occur in urgent collision avoidance situation, where understanding the ship's maneuvering capabilities is essential. However, in a remote operation involving multiple ships, ascertaining the precise maneuvering range of a single ship is challenging. Hence, research using maneuvering data employs ship models. However, the model-based approach is required to apply each environment factor separately and to process heavy computing. This study proposes a model to estimate the collision avoidable area based on the ship's recent operational data. The methodology involves deriving the minimum turning circle and estimating ship maneuvering parameters. The proposed model is expected to help prevent collisions during urgent remote operations by providing an accurate estimation of the feasible collision avoidable area.
KW - Maritime Autonomous Surface Ships (MASS);Remote operation;Collision avoidance;Minimum turning circle;Collision avoidable area
DO - 10.20465/KIOTS.2025.11.5.239
ER -

Taemin Hwang and Sung-Cheol Kim. (2025). A Data-Driven Collision Avoidable Area Estimation Model for MASS. Journal of Internet of Things and Convergence, 11(5), 239-245.

Taemin Hwang and Sung-Cheol Kim. 2025, "A Data-Driven Collision Avoidable Area Estimation Model for MASS", Journal of Internet of Things and Convergence, vol.11, no.5 pp.239-245. Available from: doi:10.20465/KIOTS.2025.11.5.239

Taemin Hwang, Sung-Cheol Kim "A Data-Driven Collision Avoidable Area Estimation Model for MASS" Journal of Internet of Things and Convergence 11.5 pp.239-245 (2025) : 239.

Taemin Hwang, Sung-Cheol Kim. A Data-Driven Collision Avoidable Area Estimation Model for MASS. 2025; 11(5), 239-245. Available from: doi:10.20465/KIOTS.2025.11.5.239

Taemin Hwang and Sung-Cheol Kim. "A Data-Driven Collision Avoidable Area Estimation Model for MASS" Journal of Internet of Things and Convergence 11, no.5 (2025) : 239-245.doi: 10.20465/KIOTS.2025.11.5.239

Taemin Hwang; Sung-Cheol Kim. A Data-Driven Collision Avoidable Area Estimation Model for MASS. Journal of Internet of Things and Convergence, 11(5), 239-245. doi: 10.20465/KIOTS.2025.11.5.239

Taemin Hwang; Sung-Cheol Kim. A Data-Driven Collision Avoidable Area Estimation Model for MASS. Journal of Internet of Things and Convergence. 2025; 11(5) 239-245. doi: 10.20465/KIOTS.2025.11.5.239

Taemin Hwang, Sung-Cheol Kim. A Data-Driven Collision Avoidable Area Estimation Model for MASS. 2025; 11(5), 239-245. Available from: doi:10.20465/KIOTS.2025.11.5.239

Taemin Hwang and Sung-Cheol Kim. "A Data-Driven Collision Avoidable Area Estimation Model for MASS" Journal of Internet of Things and Convergence 11, no.5 (2025) : 239-245.doi: 10.20465/KIOTS.2025.11.5.239