Metropolis-Scale Resilient and Trustworthy Traffic Flow Inference Using Multi-Source Data

arXiv:2605.25004 · cs.LG, cs.AI · Submitted 2026-05-24 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-05-24

Updated: 2026-10-21

Comments: The paper has been accepted by Transportation Research Part C: Emerging Technologies

Journal ref: Transportation Research Part C: Emerging Technologies, Volume 194, Part B, January 2027, 106083

DOI: 10.1016/j.trc.2026.106083

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Uncertainty Quantification — 2× in this paper · explained in 9 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adaptability — 1× in this paper · explained in 1 episode
• Epistemic Uncertainty — 1× in this paper · explained in 12 episodes
• Meta-learning — 1× in this paper · explained in 3 episodes
• Metropolitan Multi-Source Traffic Dataset — 1× in this paper
• Monte Carlo Dropout — 1× in this paper · explained in 3 episodes

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