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New MINT-V2X dataset integrates vehicle mobility and network data

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced MINT-V2X, a new dataset designed to bridge the gap in vehicle-to-everything (V2X) communication research by integrating both mobility and wireless network parameters. This comprehensive dataset was generated by combining traffic simulations from SUMO with network simulations from OMNeT++/Simu5G, adhering to 3GPP Release 14 and ETSI standards. MINT-V2X contains over 9.87 million synchronized data points from 1,386 vehicles, offering a realistic urban traffic scenario. The dataset's utility is demonstrated through a case study on roadside unit load prediction, showing improved performance when trajectory data is incorporated. AI

IMPACT Provides integrated mobility and network data crucial for developing advanced AI-driven predictive resource management in V2X systems.

RANK_REASON Publication of a new research dataset and paper on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New MINT-V2X dataset integrates vehicle mobility and network data

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Publication of a new research dataset and paper on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Abdullah Anjum, Abdolazim Rezaei, Mehdi Sookhak ·

    MINT-V2X: A Mobility-Integrated Network Trajectory Dataset for Predictive Resource Management

    arXiv:2607.22654v1 Announce Type: new Abstract: Vehicle-to-Everything (V2X) communication systems are based on datasets that not only contain vehicle trajectory data but also wireless network parameters with a realistic level of fidelity, enabling the creation of prediction and o…

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