Beyond static snapshots: gated recurrent units and graph attention networks for smarter multi-agent traffic control.

Mohita, Singh SD, Subitha D, Kavitha JC

DOI: 10.3389/frai.2026.1891950
Published: 2026
Container: Frontiers in artificial intelligence
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1891950,
  title = {Beyond static snapshots: gated recurrent units and graph attention networks for smarter multi-agent traffic control.},
  author = {Mohita and Singh SD and Subitha D and Kavitha JC},
  year = {2026},
  journal = {Frontiers in artificial intelligence},
  doi = {10.3389/frai.2026.1891950},
  url = {https://doi.org/10.3389/frai.2026.1891950}
}

RIS

TY  - JOUR
TI  - Beyond static snapshots: gated recurrent units and graph attention networks for smarter multi-agent traffic control.
AU  - Mohita
AU  - Singh SD
AU  - Subitha D
AU  - Kavitha JC
PY  - 2026
JO  - Frontiers in artificial intelligence
DO  - 10.3389/frai.2026.1891950
UR  - https://doi.org/10.3389/frai.2026.1891950
ER  -

APA

Mohita, SD, S., D, S., & JC, K. (2026). Beyond static snapshots: gated recurrent units and graph attention networks for smarter multi-agent traffic control.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1891950

Source records

pubmed · retrieved 2026-11-10T12:06:49.120Z