Evaluation of ship collision risk assessments using environmental stress and collision risk models

被引:34
作者
Yo, Yunja [1 ]
Lee, Jin-Suk [2 ]
机构
[1] Korea Maritime Inst, Maritime Ind & Safety Div, 26,Haeyang Ro 301 Beon Gil, Busan 49111, South Korea
[2] Mokpo Natl Maritime Univ, Div Maritime Sci, Haeyangdaehak Ro 91, Mokpo 58628, South Korea
基金
新加坡国家研究基金会;
关键词
Ship collision; Collision risk; Environmental stress (ES) model; CoRI (collision Risk) model; Ship domain; Relative bearing; NAVIGATIONAL SAFETY; COMPUTER-SIMULATION; DOMAIN; CRITERION; FRAMEWORK;
D O I
10.1016/j.oceaneng.2019.106527
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
In Korea, ship collisions represent the majority of marine accidents and are substantially more likely in port areas where ship traffic is dense. To improve the safe navigation of vessels, the Korea Maritime Safety Audit (KMSA) has been conducting maritime traffic flow evaluations based on the Environmental Stress (ES) model since 2009. The ES model quantifies the subjective stress felt by the navigator; however, it does not reflect the relative bearing between ships. Risk assessment models using the ship domain are designed to consider the conditions of a potential encounter with a target ship and the possibility of avoidance action. However, even if the target ship does not invade the domain of the own ship, collision may occur at the closest point of approach (CPA). Therefore, in this study, the Collision Risk (CoRI) model which moves the existing ship domain to the CPA is applied to compare the collision risk according to the navigator's awareness of the vessel encounter conditions. The results demonstrate that the CoRI model is a better risk assessment method than the ES model because it sensitively reflects the risks due to collision avoidance action, such as course alteration and speed changes.
引用
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页数:13
相关论文
共 39 条
[1]  
[Anonymous], 2002, P HUMAN FACTORS ERGO, DOI DOI 10.1177/154193120204601906
[2]   A Study on Local Traffic Management to Improve Marine Traffic Safety in the Istanbul Strait [J].
Aydogdu, Y. Volkan ;
Yurtoren, Cemil ;
Park, Jin-Soo ;
Park, Young-Soo .
JOURNAL OF NAVIGATION, 2012, 65 (01) :99-112
[3]   An intelligent real-time multi-vessel collision risk assessment system from VTS view point based on fuzzy inference system [J].
Bukhari, Ahmad C. ;
Tusseyeva, Inara ;
Lee, Byung-Gil ;
Kim, Yong-Gi .
EXPERT SYSTEMS WITH APPLICATIONS, 2013, 40 (04) :1220-1230
[4]   Human and organisational factors in maritime accidents: Analysis of collisions at sea using the HFACS [J].
Chauvin, Christine ;
Lardjane, Salim ;
Morel, Gael ;
Clostermann, Jean-Pierre ;
Langard, Benoit .
ACCIDENT ANALYSIS AND PREVENTION, 2013, 59 :26-37
[5]   MARINE TRAFFIC BEHAVIOR IN RESTRICTED WATERS [J].
COLDWELL, TG .
JOURNAL OF NAVIGATION, 1983, 36 (03) :430-444
[6]   A COMPUTER-SIMULATION OF MULTI-SHIP ENCOUNTERS [J].
DAVIS, PV ;
DOVE, MJ ;
STOCKEL, CT .
JOURNAL OF NAVIGATION, 1982, 35 (02) :347-352
[7]   A COMPUTER-SIMULATION OF MARINE TRAFFIC USING DOMAINS AND ARENAS [J].
DAVIS, PV ;
DOVE, MJ ;
STOCKEL, CT .
JOURNAL OF NAVIGATION, 1980, 33 (02) :215-222
[8]   TRAFFIC CAPACITY [J].
FUJII, Y ;
TANAKA, K .
JOURNAL OF THE INSTITUTE OF NAVIGATION, 1971, 24 (04) :543-&
[9]   The combination of analytical and statistical method to define polygonal ship domain and reflect human experiences in estimating dangerous area [J].
Gia Huy Dinh ;
Im, Nam-Kyun .
INTERNATIONAL JOURNAL OF E-NAVIGATION AND MARITIME ECONOMY, 2016, 4 :97-108
[10]  
공인영, 2003, [Journal of Korean Navigation and Port Reserch, 한국항해항만학회지], V27, P479