Tanker Voyage Disruption Short-Horizon Replanning Trajectory Dataset

#short-horizon replanning #disruption-aware decision making #trajectory-based action planning #tanker voyage management #maritime disruption response #adaptive shipping route planning

4055
0.3GB
JSON
CATL
MOBIUSI INC

Updated:2026-10-24

AI Analysis & Value Prop

This dataset records tanker voyage decision contexts, available actions, and the tasks and actions selected by an agent for the next short planning horizon when disruptions such as weather changes, traffic restrictions, or port delays occur. It organizes successive replanning decisions and observed outcomes as voyage conditions change, focusing on next-stage adjustments rather than complete voyage plans. The data can support training and evaluation of agent capabilities in task planning, decision adjustment, and disruption response under dynamic constraints.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
next_stage_plan	object	The task and action selected by the agent for the next short planning horizon, rather than a complete voyage plan.
decision_context	object	Observed voyage information, disruption details, constraints, and action options available to the planning agent.
replanning_trajectory	array	An ordered sequence of short-horizon decisions and observed outcomes as the voyage state changes.

Compliance Statement

Authorization Type	Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use	Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization	No PII, no real company names, simulated scenarios follow industry standards
Compliance System	Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What does the dataset contain?: The data covers disruption scenarios during tanker voyages, including observed voyage information, constraints, and available actions. It also includes the agent's task and action for the next short planning horizon, with successive decisions and outcomes recorded as conditions change.

Is it suitable for training complete voyage planning models?: The dataset focuses on next-stage task planning and successive replanning after disruptions, rather than complete voyage plans from origin to destination. It is better suited to training or evaluating how agents adjust plans and choose actions in response to new states.

What are the dataset size and file format?: The available information does not specify the sample count or download format. The documented structure includes decision context, next-stage plans, and replanning trajectories; consult the product details or data documentation for delivery specifications.

How can I obtain the data, and what are the license terms?: Access methods, license terms, and commercial-use permissions are governed by the product listing or accompanying license documentation. Review the terms before research or deployment and confirm that use complies with your organization's data policies.

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Cite this Work

@dataset{Mobiusi2026,
  title={Tanker Voyage Disruption Short-Horizon Replanning Trajectory Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/f1d7185f6bccecb7c7594d81a35e7e22},
  urldate={2026-10-21},
  keywords={tanker voyage dataset,voyage disruption replanning,tanker agent trajectories,short-horizon task planning,shipping decision training,port delay response,dynamic voyage planning,agent planning training},
  version={1.0}
}

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