A collision risk identification method for vessels in marine operational waters based on the Especial Cautious Navigation Angle

With the rapid growth of marine engineering activities in navigable waters, collision risk identification has become increasingly complex due to the coexistence of operational vessels and passing traffic. To address this challenge, this paper proposes a collision risk identification method based on the Especial Cautious Navigation Angle (ECNA) model for waters with ongoing marine operations. Operational scenarios are classified according to the maneuvering characteristics of operational vessels, and corresponding safety boundaries are defined. Based on these characteristics, an extended ECNA model is developed to describe the collision risk relationship between navigating vessels and operational areas. Furthermore, a collision risk scoring algorithm is introduced to quantify collision risk levels and analyse their temporal evolution. To validate the effectiveness of the proposed approach, multiple simulation experiments are conducted under different encounter conditions. The results demonstrate that the proposed ECNA model provides improved visualisation capability in complex navigational environments. The proposed method enables intuitive collision risk interpretation, supports multi-target prioritisation, and offers a practical framework for real-time collision risk assessment in waters with ongoing marine operations.

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Publication Details

Journal
Journal of Marine Engineering & Technology
Published
2026-08-14
DOI
https://doi.org/10.1080/20464177.2026.2718639
Primary Topic
Maritime Navigation and Safety
Type
article
Field-Weighted Citation Impact
0.00

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article

A collision risk identification method for vessels in marine operational waters based on the Especial Cautious Navigation Angle

Wei Pan, Xin-Lian Xie, Meng Li, Ping He et al.
Journal of Marine Engineering & Technology
Maritime Navigation and Safety
article

A collision risk identification method for vessels in marine operational waters based on the Especial Cautious Navigation Angle

Wei Pan, Xin-Lian Xie, Meng Li, Ping He, Yu-Kuan Wang, Xiao-wei Xu
article en

Abstract

With the rapid growth of marine engineering activities in navigable waters, collision risk identification has become increasingly complex due to the coexistence of operational vessels and passing traffic. To address this challenge, this paper proposes a collision risk identification method based on the Especial Cautious Navigation Angle (ECNA) model for waters with ongoing marine operations. Operational scenarios are classified according to the maneuvering characteristics of operational vessels, and corresponding safety boundaries are defined. Based on these characteristics, an extended ECNA model is developed to describe the collision risk relationship between navigating vessels and operational areas. Furthermore, a collision risk scoring algorithm is introduced to quantify collision risk levels and analyse their temporal evolution. To validate the effectiveness of the proposed approach, multiple simulation experiments are conducted under different encounter conditions. The results demonstrate that the proposed ECNA model provides improved visualisation capability in complex navigational environments. The proposed method enables intuitive collision risk interpretation, supports multi-target prioritisation, and offers a practical framework for real-time collision risk assessment in waters with ongoing marine operations.

Journal of Marine Engineering & Technology
Shanghai Jiao Tong University (CN), Anhui University of Finance and Economics (CN), Wuhan University of Technology (CN), Liaoning University of International Business and Economics (CN), Dalian Maritime University (CN)
Natural Science Foundation of Liaoning Province
Life below water
Openalex Percentile: Top 13%
Maritime Navigation and Safety
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A collision risk identification method for vessels in marine operational waters based on the Especial Cautious Navigation Angle — Wei Pan, Xin-Lian Xie, et al. · Journal of Marine Engineering & Technology (2026) | TGRS Research Map | TGRS