MINT-V2X Dataset Integrates Mobility and Network Data for V2X Research
Researchers have unveiled a new dataset called MINT-V2X, which combines vehicle movement data with wireless network metrics to improve resource management in Vehicle-to-Everything (V2X) communications. This dataset features 9.87 million synchronized data points gathered from 1,386 vehicles and 15 roadside units (RSUs) during a three-hour urban traffic simulation. It was created by merging SUMO traffic dynamics with OMNeT++/Simu5G network simulations. To maintain data quality, a validation framework has been developed that includes 14 standardized tests aligned with 3GPP Release 14 (C-V2X), ETSI standards, and Shannon capacity theory. This dataset addresses a major gap in publicly available resources, which typically offer either mobility or network data, but not both.
Key facts
- MINT-V2X dataset combines vehicle trajectory and wireless network data.
- Generated using SUMO traffic dynamics and OMNeT++/Simu5G network simulation.
- Contains 9.87 million synchronized data points.
- Data from 1,386 vehicles and 15 roadside units.
- 3 hours of urban traffic simulation.
- Validation framework includes 14 standardized tests.
- Based on 3GPP Release 14, ETSI standards, and Shannon capacity theory.
- Addresses lack of integrated mobility-network datasets.
Entities
Institutions
- 3GPP
- ETSI