Analyzing anomalous events in passageways with high-frequency ship signals

Area of Science:

• Maritime Logistics
• Supply Chain Management
• Data Analytics

Background:

• Maritime passageways are vital for global trade, but disruptions cause significant economic impacts.
• Real-time monitoring of these events is essential for mitigation and policy development.

Purpose of the Study:

• To propose a novel framework for analyzing anomalous events in maritime passageways using Automated Information System (AIS) data.
• To quantify the impact of these events on vessel traffic, including dwell times and route changes.

Main Methods:

• Developed a framework utilizing AIS data to monitor and analyze anomalous events in maritime passageways.
• Applied the framework to case studies including the Suez Canal blockage, Bosporus Strait policy change, and Bab el-Mandeb Strait disruptions.

Main Results:

• The framework identified distinct phases during the Suez Canal blockage, correlating with changes in average vessel dwell times.
• Analysis revealed the emergence of new, event-driven routes used by vessels to circumvent the blockage.
• The methodology demonstrated generalizability across different critical maritime passageways and disruption types.

Conclusions:

• The proposed AIS-based framework offers a robust method for analyzing maritime passageway disruptions.
• It provides deeper insights into event impacts than traditional port analysis methods.
• This framework supports informed decision-making for maritime trade resilience and policy.