Talking Trucks
<p>Talking Trucks dataset (v2021.12)</p> <p> </p> <p>This dataset is used for research into Self-organizing logistics and published as part of the paper "Talking Trucks: Decentralized Collaborative Multi-Agent Order Scheduling for Self-Organizing Logistics". It is managed by the TNO Sustainable Transport and Logistics department. Please contact Christian van Ommeren (christian.vanommeren@tno.nl) and Ruben Fransen (ruben.fransen@tno.nl) for details.</p> <p> </p> <p>The dataset contains 4 types of objects (files): agents, orders, route stops, and locations; and currently holds data for three experiments, represented by a UUIDv4 identifier.</p> <p> </p> <p><strong>Agents</strong></p> <p>Represents an agent that is able to transport load and is to be assigned to specific orders.</p> <p> </p> <p>This file contains the agent's unique UUIDv4 identifier; agent type; Euronorm emission norm; agent cost for driving a km in EUR; agent cost per hour in EUR; working hours start and end times; and agent starting coordinates.</p> <p> </p> <p><strong>Orders</strong></p> <p>Represents the unit that should be transported by the agents.</p> <p> </p> <p>This file contains the order's unique UUIDv4 identifier; container type; TEU; trade type (import/export); and weight.</p> <p> </p> <p><strong>Route stops</strong></p> <p>Represents the stop which is associated with an order. Stops are tied to a real-world location.</p> <p> </p> <p>This file contains the route stop's unique UUIDv4 identifier; stop index; location UUIDv4 identifier; type (origin/destination); order UUIDv4 identifier; and time window times.</p> <p> </p> <p><strong>Locations</strong></p> <p>Represents a real-world location at which logistics operations take place (for a specific duration).</p> <p> </p> <p>This file contains the location's unique UUIDv4 identifier; country designator; coordinates; Euronorm emission norm; stop duration; and service type (decoupling, live handling, craning, ...).</p> <p> </p> <p><strong>License</strong></p> <p>This work is licensed under a <a href="http://creativecommons.org/licenses/by-nc/4.0/">Creative Commons Attribution-NonCommercial 4.0 International License</a></p> <p> </p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4