Based on the trend, there have been numerous researches analysing the ship collision risk. However, in this scope, the navigational conditions and external environment are ignored or incompletely considered in training or/and real situation. It has been identified as a significant limitation in the navigational collision risk assessment. Therefore, a novel algorithm of the ship navigational collision risk solving system has been proposed based on basic collision risk and vulnerabilities of marine accidents. The vulnerability can increase the possibility of marine collision accidents. The factors of vulnerabilities including bad weather, tidal currents, accidents prone area, traffic congestion, operator fatigue and fishing boat operating area are involved in the fuzzy reasoning engines to evaluate the navigational conditions and environment. Fuzzy logic is employed to reason basic collision risk using Distance to Closest Point of Approach (DCPA) and Time of Closest Point of Approach (TCPA) and the degree of vulnerability in the specific coastal waterways. Analytical Hierarchy Process (AHP) method is used to obtain the integration of vulnerabilities. In this paper, vulnerability factors have been proposed to improve the collision risk assessment especially for non-SOLAS ships such as coastal operating ships and fishing vessels in practice. Simulation is implemented to validate the practicability of the designed navigational collision risk solving system.
Collision risk assessment based on the vulnerability of marine accidents using fuzzy logic
2020
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
Prediction of Risk of Wet-Pavement Accidents: Fuzzy Logic Model
Transportation Research Record | 2000
|Prediction of Risk of Wet-Pavement Accidents: Fuzzy Logic Model
British Library Conference Proceedings | 2000
|Analysis of human factors in marine collision accidents based on HFACS
British Library Conference Proceedings | 2022
|Dynamic Fuzzy Logic Model for Risk Assessment of Marine Crude Oil Transportation
Online Contents | 2012
|Dynamic Fuzzy Logic Model for Risk Assessment of Marine Crude Oil Transportation
Transportation Research Record | 2012
|