---
title: "Time-series and traffic benchmarks datasets"
description: "Datasets in the category “Time-series and traffic benchmarks” were mentioned in 8 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #38 of the 58 data categories mentioned."
url: https://scholar4ai.com/datasets/time-series-and-traffic-benchmarks
markdown_url: https://scholar4ai.com/datasets/time-series-and-traffic-benchmarks.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "Datasets in the category “Time-series and traffic benchmarks” were mentioned in 8 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #38 of the 58 data categories mentioned."
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-10-26T14:52:47+09:00
window: 2026-09-27 to 2026-10-26
source: OpenAlex (CC0)
---

# Time-series and traffic benchmarks

Collections used to compare forecasting and time-series classification methods.

- 1 papers in the last 7 days
- 3 of its 5 datasets mentioned

Back to the ranking: https://scholar4ai.com/rankings/datasets.md

## Key findings

- Datasets in the category “Time-series and traffic benchmarks” were mentioned in 8 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #38 of the 58 data categories mentioned.
- The most-mentioned were Traffic (PeMS, METR-LA) (5), ETT (electricity transformer temperature) (2) and M3 / M4 / M5 competitions (1).
- By journal category: AI (5), Economics (2) and Operations Research (1).
- Most of them appeared in Transportation Research Part C Emerging Technologies (1), Data Mining and Knowledge Discovery (1) and Energy Policy (1).

## Datasets

*Datasets in this category · 2026-09-27 – 2026-10-26 (30 days)*

| Dataset | Papers | Last 7 days | Names searched for |
|---|---:|---:|---|
| Traffic (PeMS, METR-LA) | 5 | 1 | PeMS, PEMS-BAY, PEMS04, PEMS08, PEMSD4, PEMSD8, METR-LA |
| ETT (electricity transformer temperature) | 2 | 0 | ETTh1, ETTh2, ETTm1, ETTm2, Electricity Transformer Temperature |
| M3 / M4 / M5 competitions | 1 | 0 | M3 competition, M4 competition, M5 competition, M4 dataset, M5 dataset |
| NYC taxi trips | 0 | 0 | NYC Taxi, New York City taxi, NYC TLC |
| UCR / UEA archives | 0 | 0 | UCR archive, UCR time series, UEA archive, UCR/UEA |

## Papers

*Papers mentioning these datasets, newest first.*

| Date | Title | Journal | Authors | Affiliations | Datasets mentioned |
|---|---|---|---|---|---|
| 2026-10-22 | [Measuring the state of open science in transportation using large language models](https://doi.org/10.1016/j.trc.2026.106024) | [Transportation Research Part C Emerging Technologies](https://scholar4ai.com/journals/transportation-research-part-c-emerging-technologies.md) | Junyi Ji, Ruth Lu, Linda Belkessa et al. | Vanderbilt University; Massachusetts Institute of Technology; Université Gustave Eiffel; … | Traffic (PeMS, METR-LA) |
| 2026-10-13 | [NoDE: noise-decorrelation embedding for robust long-term multivariate time series forecasting](https://doi.org/10.1007/s10618-026-01281-0) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | Minhyuk Lee, Hyekyung Yoon, Imseong Park et al. | Seoul National University; Mathematical Sciences Research Institute | ETT (electricity transformer temperature) |
| 2026-10-06 | [Green hydrogen promotion in Cameroon: Implications for sustainable development](https://doi.org/10.1016/j.enpol.2026.115629) | [Energy Policy](https://scholar4ai.com/journals/energy-policy.md) | Anja Brumme, Alexander Golub, Anil Markandya et al. | TU Bergakademie Freiberg; American University; Basque Centre for Climate Change | Traffic (PeMS, METR-LA) |
| 2026-10-01 | [CDGAT: A conditioned diffusion-based graph attention network for spatio-temporal prediction](https://doi.org/10.1007/s00521-026-12618-7) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Angelo Casolaro, Massimiliano Giordano Orsini, Vincenzo Capone et al. | Parthenope University of Naples | Traffic (PeMS, METR-LA) |
| 2026-10-01 | [DSGAFormer: decoupled static-dynamic graph-augmented transformer for traffic flow forecasting](https://doi.org/10.1007/s10489-026-07513-6) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Yuxi Feng, Lian You Xiong, Deliang Li | Chongqing University of Posts and Telecommunications; Sichuan University | Traffic (PeMS, METR-LA) |
| 2026-10-01 | [Fusing multi-scale temporal dynamics and periodic spatial topologies for traffic forecasting](https://doi.org/10.1016/j.eswa.2026.134497) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Qin Li, Chenyang Luo, Xuan Yang et al. | Beijing Information Science & Technology University; Guangxi University; Shenzhen University; … | Traffic (PeMS, METR-LA) |
| 2026-09-30 | [What can we gain from pooling VAR and local projection impulse response functions?](https://doi.org/10.1016/j.jedc.2026.105434) | [Journal of Economic Dynamics and Control](https://scholar4ai.com/journals/journal-of-economic-dynamics-and-control.md) | Viet Hoang Dinh | Monash University | M3 / M4 / M5 competitions |
| 2026-09-28 | [FreSia: Frequency-semantic instantiation and alignment for multivariate time series analysis](https://doi.org/10.1016/j.patcog.2026.114944) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Yubo Wang, Hui He, Hezhe Qiao et al. | Beijing Institute of Technology; Singapore Management University | ETT (electricity transformer temperature) |

## Cite this page

Scholar4AI. (2026). Time-series and traffic benchmarks. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/datasets/time-series-and-traffic-benchmarks

```bibtex
@misc{scholar4ai-datasets-time-series-and-traffic-benchmarks,
  author = {{Scholar4AI}},
  title = {Time-series and traffic benchmarks},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/time-series-and-traffic-benchmarks}},
  urldate = {2026-10-26},
  note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).