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arXiv Machine Learning By Md Mahmudul Islam, Shaurya Agarwal

Trust as a Field: A Macroscopic Representation for Vehicular Networks

Read the original on arXiv Machine Learning →

The paper introduces a spatio‑temporal trust‑field framework that aggregates individual vehicle trust into a continuous representation over road segments. Using simulation‑based experiments with synthetic trajectories, the authors analyze trust‑field behavior in simple road scenarios. They also explore reconstructing the full trust field from sparse roadside‑unit measurements, comparing a coordinate‑based deep learning baseline with a field‑informed method that enforces measurement consistency, finding the latter yields more accurate recovery of low‑trust patterns and lower reconstruction error.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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