Design of Fairway Width Based on a Grounding and Collision Risk Model in the South Coast of Korean Waterways

Abstract

As a method of reviewing the design of new fairways and the redesign of existing fairways, we proposed a fairway design plan based on the collision and grounding probability, considering vessel traffic. A case study was conducted on the four traffic separation schemes (TSS) on the southern coast, which is the most complex coast among Korean coastal waters. The evaluation items of Korea’s Maritime Traffic Safety Assessment Scheme, the PIANC Guide, and the Port and Fishing Port Design Standards were all satisfied; however, some fairways had very high ship congestion at specific times, exceeding the fairway capacity. For each target fairway, the collision risk using the environmental stress (ES) model and the grounding risk using the IWRAP Mk II Model were analyzed. The grounding risk was found to be equally good, but the aggregation environmental stress (ESA) value, according to the ES model, was high in three fairways. The widths of the three fairways with high risk were partially expanded, and, thus, were re-evaluated. The overall ESA was reduced, and the psychological burden of operators due to the marine environment, such as the fairways, was significantly eased. Based on the results of this study, it would be beneficial to apply a design scheme using collision and stranded risk models when designing new fairways or reviewing existing fairways. An appropriate fairway design plan is prepared that, through further research using various evaluation models and techniques, could be useful in coastal waters in the future.

Navigating the Future: Developing Smart Fairways for Enhanced Maritime Safety and Efficiency

“…Ship movements in a fairway are recognized by Vessel Traffic Service (VTS), and the static and dynamic information of AIS data is collected for vessel traffic management [14,15]. In the design of new fairways and the redesign of existing fairways, the collision, allision and grounding probability, as well as vessel traffic, are considered [16,17]. The local pilots knowing local fairways, traffic patterns and weather conditions can provide guidance and relevant advice to avoid the hazards of navigating in unfamiliar or complex environments [18,19].…”

“…Thus, proper fairway management improves environmental sustainability, for example, by helping to reduce the maritime traffic-induced shore erosion in protected coastal fairways and preserving natural populations and habitats [20]. Overall, the design of a fairway considers various factors to ensure safe navigation for different types of vessels in specific locations [16].…”

Estimating Accident Reduction Rate after Maritime Traffic Safety Assessment Using Synthetic Minority Oversampling Technique and Machine Learning Algorithm

“…The ES model is used to quantitatively evaluate the degree of burden imposed on ship operators, and is also utilized in the MTSA Scheme in Korea [18,19].…”

An Efficient Feature Augmentation and LSTM-Based Method to Predict Maritime Traffic Conditions

“…Maritime traffic congestion is an index that can be expressed as the percentage of the actual maritime traffic volume against the maritime traffic volume of a navigational passage. It is often used as a simple indicator of the average traffic volume and congestion of a navigational passage [29,30]. Maritime traffic congestion is also used as an index to select traffic conditions to evaluate the efficacy of the collision avoidance algorithms of autonomous ships [31].…”