next generation vessel traffic management
TRANSCRIPT
Next Generation Vessel Traffic ManagementTodd Schuett, SESAME Straits Project Manager
Next Generation Vessel Traffic Management
• Technology platform
• e-Navigation
• Decision support
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Human Centered Design
Vessel Traffic Service Centre Today
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Vessel Traffic Management Centre 2025?
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Technology platform – one solution fits all?
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e-Navigation Definition
“e-Navigation is the harmonised collection, integration,
exchange, presentation and analysis of maritime
information onboard and ashore by electronic means to
enhance berth to berth navigation and related services,
for safety and security at sea and protection of the
marine environment”
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e-Navigation – Maritime Service Portfolios
• MSP9 Telemedical Maritime Assistance
Service
• MSP10 Maritime Assistance Service (MAS)
• MSP11 Nautical Chart Service
• MSP12 Nautical Publications Service
• MSP13 Ice Navigation Service
• MSP14 Meteorological Information Service
• MSP15 Real-Time Hydrographic and
Environmental Information Services
• MSP16 Search and Rescue (SAR) Service
• MSP1 VTS Information Service (INS)
• MSP2 Navigational Assistance
Service (NAS)
• MSP3 Traffic Organization Service
(TOS)
• MSP4 Local Port Service (LPS)
• MSP5 Maritime Safety Information
(MSI) Service
• MSP6 Pilotage Service
• MSP7 Tugs Service
• MSP8 Vessel Shore Reporting
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SESAME Straits e-Navigation Test Bed
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e-Navigation possibilities
• Guaranteed just-in-time arrival
• One-time reservation and confirmation for pilot and tug services
• Weather and sea state data available along that route
• ENC updates immediately available
• Mandatory reports – such as STRAITREP – as well as the vessel status
reporting, automated and submitted with a click or a touch.
• Reduced waiting time for pilot and tugs
• Reduced waiting time for vessels
• Reduced bunkering
• Shared tracks and radar video between vessels and shore-based
systems
• All vessels know the intentions of each other
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Next Gen Decision SupportMore than warnings and alerts
• Big Data – also known as “Sense-Making”
• Cooperative Human-Machine Systems
• Anomaly Detection
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Next Gen Decision Support – Big Data
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extremely large data sets that may be analyzed by
computers to reveal patterns, trends, and associations
Next Gen Decision SupportBig Data
• Hard data vs. soft data
• Traffic patterns
• Probability
• Data linking
• Escalating alerts
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Next Gen Decision SupportCooperative Human-Machine Systems – in one word
Automation
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Decision Support –Cooperative Human-Machine Systems
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Next Gen Decision Support –Anomaly detection
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’’Anomaly detection approaches build models of normal
data and then attempts to detect deviations from the
normal model observed in data’’ 1
1. Leonid Portnoy, Eleazar Eskin, and Salvadore J. Stolfo, Intrusion detection with unlabeled data using clustering. In ACM Workshop on Data Mining Applied to Security (DMSA-2001), USA, 2001.
Anomaly detection as a SMART Agent
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• C-Scope Platform of SMART Agents
– each agent capable of recognizing a certain situation
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Level 0-1
Fusio
n
Anomaly
detection
Unusual
routing
Proximity
Available data sources
Smuggling
Observ
Decid
Act
Level 2
Level 3
Level 0 - 1
System for Managing Agents in Real Time
Feedback
In Conclusion, a question:
mouse?Where’s my
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