Tanker Voyage Disruption Short-Horizon Replanning Trajectory Dataset
- Records
- 4055
- Size
- 0.3GB
- Format
- JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
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.
Overview
Dataset Insights
Preview
Sample Examples
Schema
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. |
Trust
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
FAQ
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?dataset_task_cate_id=8},
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}
}Using this in research? Please cite us.