Research on Response Strategies for Inland Waterway Vessel Traffic Risk Based on Cost-Effect Trade-Offs DOI Creative Commons
Yanyi Chen,

Ziyang Ye,

Tao Wang

и другие.

Journal of Marine Science and Engineering, Год журнала: 2024, Номер 12(9), С. 1659 - 1659

Опубликована: Сен. 16, 2024

Compared to maritime vessel traffic accidents, there is a scarcity of available, and only incomplete, accident data for inland waterway accidents. Additionally, the characteristics different segments vary significantly, factors affecting navigation safety risks their mechanisms may also differ. Meanwhile, in recent years, extreme weather events have been frequent waterways, has clear trend towards larger vessels, bringing about new hazards management challenges. Currently, research on mainly focuses risk assessment, with scarce quantitative studies mitigation measures. This paper proposes method improving safety, based cost-effectiveness trade-off approach mitigate The links effectiveness cost measures constructs comprehensive cost-benefit evaluation model using fuzzy Bayesian quantification conversion techniques, considering reduction effects under uncertain conditions various costs they incur. Taking upper, middle, lower reaches Yangtze River as examples, this evaluates key provides most cost-effective strategies. Findings reveal that, even if waterways share same sources, due environmental differences. Moreover, no inherent correlation between best-performing terms benefits lowest-cost measures, nor are necessarily recommended. proposed case provide theoretical support scientifically formulating complex environments offer guidance departments determine future work directions.

Язык: Английский

Investigation into safety acceptance principles for autonomous ships DOI Creative Commons
Victor Bolbot, Martin Bergström,

Marko Rahikainen

и другие.

Reliability Engineering & System Safety, Год журнала: 2025, Номер unknown, С. 110810 - 110810

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1
Identification of key risk ships in risk-based ship complex network DOI
Qian Qiao, Zhen Rong,

Han Dong

и другие.

Ocean Engineering, Год журнала: 2025, Номер 327, С. 120969 - 120969

Опубликована: Март 18, 2025

Язык: Английский

Процитировано

1
Vulnerability Assessment and Decision Analysis of Airport Unlawful Interference Emergency Disposal Based On Complex Network In China: Take Regional Airports for Example DOI
Yu Wu,

Shiting He

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Vessel Type Recognition Using a Multi-Graph Fusion Method Integrating Vessel Trajectory Sequence and Dependency Relations DOI Creative Commons
Lin Ye, Xiaohong Chen, Haiyan Liu

и другие.

Journal of Marine Science and Engineering, Год журнала: 2024, Номер 12(12), С. 2315 - 2315

Опубликована: Дек. 17, 2024

In the field of research into vessel type recognition utilizing trajectory data, researchers have primarily concentrated on developing models based sequences to extract relevant information. However, this approach often overlooks crucial significance spatial dependency relationships among points, posing challenges for comprehensively capturing intricate features travel patterns. To address limitation, our study introduces a novel multi-graph fusion representation method that integrates both and optimize task recognition. The proposed initially extracts spatiotemporal behavioral semantic from trajectories. By these features, key nodes within exhibit dependencies are identified. Subsequently, graph structures constructed represent between points. These then processed through convolutional networks (GCNs), which integrate various sources information graphs obtain representations Finally, applied experimental validation. results indicate significantly enhances performance when compared other baseline methods. Additionally, ablation experiments been conducted validate effectiveness each component method. This innovative not only delves deeply trajectories but also contributes advancements in intelligent water traffic control.

Язык: Английский

Процитировано

2
An Intelligent Decision-Making Approach for Multi-Ship Traffic Conflict Mitigation from the Perspective of Maritime Surveillance DOI Creative Commons
Shaobo Wang, Yiyang Zou, Xiaohui Wang

и другие.

Journal of Marine Science and Engineering, Год журнала: 2024, Номер 12(10), С. 1719 - 1719

Опубликована: Сен. 30, 2024

Potential multi-ship conflict situations in coastal or near-shore port areas have always been one of the important factors affecting ship navigation safety and a key target maritime traffic regulatory authorities. In recent years, with continuous development integration various emerging technologies field, supervision has also shown trend intelligent autonomous development. The traditional method dominated by human experience is evolving towards data model-driven practices. order to solve problem under scenarios, it urgent build an mitigation decision-making model. Therefore, this paper designs novel risk model for scenarios from perspective supervision. proposed first extracts high-density clusters based on AIS (Automatic Identification System) uses MCD (Mean Core Density) PRM (Proportion Relative Motion) as feature indicators further mine potential scenarios. Finally, global optimization constructed effectively mitigate risks. Experimental verification shows that can autonomously identify make reasonable decisions real time. It ensure ships improve level departments.

Язык: Английский

Процитировано

1
Research on Response Strategies for Inland Waterway Vessel Traffic Risk Based on Cost-Effect Trade-Offs DOI Creative Commons
Yanyi Chen,

Ziyang Ye,

Tao Wang

и другие.

Journal of Marine Science and Engineering, Год журнала: 2024, Номер 12(9), С. 1659 - 1659

Опубликована: Сен. 16, 2024

Compared to maritime vessel traffic accidents, there is a scarcity of available, and only incomplete, accident data for inland waterway accidents. Additionally, the characteristics different segments vary significantly, factors affecting navigation safety risks their mechanisms may also differ. Meanwhile, in recent years, extreme weather events have been frequent waterways, has clear trend towards larger vessels, bringing about new hazards management challenges. Currently, research on mainly focuses risk assessment, with scarce quantitative studies mitigation measures. This paper proposes method improving safety, based cost-effectiveness trade-off approach mitigate The links effectiveness cost measures constructs comprehensive cost-benefit evaluation model using fuzzy Bayesian quantification conversion techniques, considering reduction effects under uncertain conditions various costs they incur. Taking upper, middle, lower reaches Yangtze River as examples, this evaluates key provides most cost-effective strategies. Findings reveal that, even if waterways share same sources, due environmental differences. Moreover, no inherent correlation between best-performing terms benefits lowest-cost measures, nor are necessarily recommended. proposed case provide theoretical support scientifically formulating complex environments offer guidance departments determine future work directions.

Язык: Английский

Процитировано

0