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Open AccessArticle

Collision Prevention Algorithm for Fishing Vessels Using mmWAVE Communication

1
Ocean Science and Technology school, Korea Maritime and Ocean University, Busan 49112, Korea
2
Division of Maritime Transportation Science, Korea Maritime and Ocean University, Busan 49112, Korea
*
Author to whom correspondence should be addressed.
J. Mar. Sci. Eng. 2020, 8(2), 115; https://doi.org/10.3390/jmse8020115
Received: 8 January 2020 / Revised: 7 February 2020 / Accepted: 10 February 2020 / Published: 13 February 2020
(This article belongs to the Special Issue Maritime Safety)
This study leveraged the millimeter wireless access in vehicular environments (mmWAVE) communication technology to reflect the maneuvering characteristics of small fishing vessels and constructed a collision prevention algorithm that can be applied relatively easily. The algorithm was verified through simulation and actual ship experiments. The algorithm had four components: detection of vessels within three miles; identification of dangerous vessels by applying the time to the closest point of approach (TCPA) and distance at the closest point of approach (DCPA) criteria; continuous monitoring of maritime traffic risk; and incremental alarm signaling. The simulations and experiments confirmed that the alarm was generated incrementally in accordance with the distance to a dangerous situation, with no false alarms. Thus, the proposed algorithm offers potential to enhance the safety of small fishing vessels.
Keywords: collision prevention algorithm; fishing vessel; mmWAVE communication; time to the closest point of approach (TCPA); distance at the closest point of approach (DCPA); maritime traffic risk collision prevention algorithm; fishing vessel; mmWAVE communication; time to the closest point of approach (TCPA); distance at the closest point of approach (DCPA); maritime traffic risk
MDPI and ACS Style

Lee, M.-K.; Park, Y.-S. Collision Prevention Algorithm for Fishing Vessels Using mmWAVE Communication. J. Mar. Sci. Eng. 2020, 8, 115.

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