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Enhancing spatiotemporal multi-view traffic prediction through IoT integration and meta-learning with time-varying set-point estimation in smart cities

Crossref DOI link: https://doi.org/10.1140/epjp/s13360-025-07207-x

Published Online: 2026-03-03

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Nineta, R. J. Alice

Femila, L.

Dickson, A. Joel
License Information

Text and Data Mining valid from 2026-03-03

Version of Record valid from 2026-03-03
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Article History

Received: 18 January 2025

Accepted: 13 December 2025

First Online: 3 March 2026

Declarations

:

: The authors declare that they have no conflict of interest.

: This article does not contain any studies with human participants and/or animals performed by any of the authors.

: There is no informed consent for this study.

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