Sensor-Driven Short-Term Forecasting on the Metropolitan LA Traffic Dataset: A Comparative Study for Multi-Step Prediction.

Dong B, Zhang X, Zhu W, Hou L, Yan C, Feng Y, Lin L

DOI: 10.3390/s26123917
Published: 2026 Jun 20
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s26123917,
  title = {Sensor-Driven Short-Term Forecasting on the Metropolitan LA Traffic Dataset: A Comparative Study for Multi-Step Prediction.},
  author = {Dong B and Zhang X and Zhu W and Hou L and Yan C and Feng Y and Lin L},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26123917},
  url = {https://doi.org/10.3390/s26123917}
}

RIS

TY  - JOUR
TI  - Sensor-Driven Short-Term Forecasting on the Metropolitan LA Traffic Dataset: A Comparative Study for Multi-Step Prediction.
AU  - Dong B
AU  - Zhang X
AU  - Zhu W
AU  - Hou L
AU  - Yan C
AU  - Feng Y
AU  - Lin L
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26123917
UR  - https://doi.org/10.3390/s26123917
ER  -

APA

B, D., X, Z., W, Z., L, H., C, Y., Y, F., & L, L. (2026). Sensor-Driven Short-Term Forecasting on the Metropolitan LA Traffic Dataset: A Comparative Study for Multi-Step Prediction.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26123917

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pubmed · retrieved 2026-09-25T05:54:29.486Z