Traffic (PeMS, METR-LA)

data category: Time-series and traffic benchmarks · 0 papers in the last 7 days

← Most-used data · All Time-series and traffic benchmarks datasets

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

Names searched for: PeMS, PEMS-BAY, PEMS04, PEMS08, PEMSD4, PEMSD8, METR-LA

Key findings#

From Nov 2023 to Oct 2026, 196 archived papers mentioned Traffic (PeMS, METR-LA) in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jul 2026 (14).
Traffic (PeMS, METR-LA) was mentioned in 2 papers in the last 30 days (2026-10-06 to 2026-11-04), ranking #133 of the 255 datasets mentioned.
By journal category: Operations Research (1) and Economics (1).
Most of them appeared in Transportation Research Part C Emerging Technologies (1) and Energy Policy (1).
From 2017 to 2026 (so far), Traffic (PeMS, METR-LA) was mentioned in 213 papers in the tracked journals, most of them in AI (116), operations research (40) and health economics and policy (19).
66 of them were published in 2025, against 0 in 2017.
Since 2023, the institutions with the most of these papers were Southeast University (7), Tongji University (7) and Hong Kong Polytechnic University (6).
The journals publishing most of them were Artificial Intelligence Review (12), Neural Computing and Applications (12) and Transportation Research Part C Emerging Technologies (12).
The most-cited of them is “A hybrid deep learning based traffic flow prediction method and its understanding” (Transportation Research Part C Emerging Technologies, 2018), with 800 citations.
Papers use Traffic (PeMS, METR-LA) most often with International Energy Agency (IEA) (20), ETT (electricity transformer temperature) (12) and UCR / UEA archives (12); it has 33 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

Mentions over 36 months#

Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
Trend	Nov 23–Oct 24	Nov 24–Oct 25	Nov 25–Oct 26	36 months
	59	63	74	196

Papers per year#

20172026 (so far)

Papers per publication year and category
Category	2018	2020	2021	2022	2023	2024	2025	2026 (so far)
AI	0	0	0	4	11	39	28	34
Operations Research	1	1	1	1	4	7	13	12
Health Economics and Policy	0	0	0	0	1	5	7	6
Economics	0	0	0	0	3	3	5	5
Management	0	0	0	0	0	2	9	2
Information Systems	0	0	0	0	1	0	1	1
Statistics	0	0	0	0	0	0	2	1
Higher Education and Research	0	0	0	0	0	0	0	1
Finance	0	0	0	0	0	0	0	1
Tourism and Hospitality	0	0	0	0	0	0	1	0
All categories	1	1	1	5	20	56	66	63

Where the papers come from#

Journals with the most papers, since 2023
#	Journal	Papers
1	Artificial Intelligence Review	12
2	Neural Computing and Applications	12
3	Transportation Research Part C Emerging Technologies	12
4	IEEE Transactions on Knowledge and Data Engineering	11
5	Applied Intelligence	9
6	Expert Systems with Applications	9
7	Knowledge-Based Systems	7
8	Data Mining and Knowledge Discovery	7
9	IEEE Transactions on Neural Networks and Learning Systems	7
10	IEEE Transactions on Pattern Analysis and Machine Intelligence	6

Institutions with the most papers, since 2023
#	Institution	Papers
1	Southeast University	7
2	Tongji University	7
3	Hong Kong Polytechnic University	6
4	Hong Kong University of Science and Technology	6
5	Centre National de la Recherche Scientifique	5
6	Chinese Academy of Sciences	5
7	Politecnico di Milano	5
8	The Hong Kong University of Science and Technology (Guangzhou)	5
9	University of Bristol	5
10	Griffith University	4

Countries with the most papers, since 2023
#	Country	Papers
1	China	67
2	United States	33
3	United Kingdom	28
4	Australia	22
5	Germany	22
6	Hong Kong	18
7	Italy	16
8	Switzerland	9
9	Spain	9
10	France	9

Keywords with the most papers, since 2023
#	Keyword	Papers
1	traffic flow prediction	28
2	traffic prediction	14
3	graph neural networks	13
4	intelligent transportation systems	13
5	time series forecasting	12
6	multivariate time series forecasting	11
7	cost-effectiveness	10
8	quality-adjusted life years	9
9	spatiotemporal dependencies	9
10	transformer models	9

Most-cited papers#

Most-cited papers since 2017
#	Citations	Per month	Title	Journal	Published	Authors
1	800	7.7	A hybrid deep learning based traffic flow prediction method and its understanding	Transportation Research Part C Emerging Technologies	2018-03-20	Yuankai Wu, Huachun Tan, Lingqiao Qin et al.
2	635	18.9	A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions	Journal Of Big Data	2024-01-16	Bharti Khemani, Shruti Patil, Ketan V. Kotecha et al.
3	595	16.8	Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey	IEEE Transactions on Knowledge and Data Engineering	2023-11-23	Guangyin Jin, Yuxuan Liang, Yuchen Fang et al.
4	572	21.4	A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection	IEEE Transactions on Pattern Analysis and Machine Intelligence	2024-08-14	Ming Jin, Huan Yee Koh, Qingsong Wen et al.
5	312	5.7	A multi-head attention-based transformer model for traffic flow forecasting with a comparative analysis to recurrent neural networks	Expert Systems with Applications	2022-04-21	Selim Reza, Marta Campos Ferreira, José J. M. Machado et al.

Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.

Used together with#

Papers use Traffic (PeMS, METR-LA) most often with International Energy Agency (IEA) (20), ETT (electricity transformer temperature) (12) and UCR / UEA archives (12); it has 33 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST. The whole network →

What papers use Traffic (PeMS, METR-LA) together with (at least 3 papers; lift 1 = chance)
Used with	Type	Papers using both	Lift
International Energy Agency (IEA)	Dataset	20	4.2
ETT (electricity transformer temperature)	Dataset	12	54.0
UCR / UEA archives	Dataset	12	19.9
Twitter / X	Dataset	8	0.4
OpenStreetMap	Dataset	7	5.0
Wikipedia	Dataset	7	1.4
ENTSO-E / Nord Pool electricity data	Dataset	5	10.5
Facebook	Dataset	5	0.4
MIMIC	Dataset	5	3.7
NYC taxi trips	Dataset	5	16.7
WITS / TRAINS tariff data	Dataset	5	1.4
CEC benchmark functions	Dataset	4	1.6

Papers mentioning Traffic (PeMS, METR-LA) in the last 30 days, newest first.
Date	Title	Journal	Authors	Affiliations
2026-10-22	Measuring the state of open science in transportation using large language models	Transportation Research Part C Emerging Technologies	Junyi Ji, Ruth Lu, Linda Belkessa et al.	Vanderbilt University; Massachusetts Institute of Technology; Université Gustave Eiffel; …
2026-10-06	Green hydrogen promotion in Cameroon: Implications for sustainable development	Energy Policy	Anja Brumme, Alexander Golub, Anil Markandya et al.	TU Bergakademie Freiberg; American University; University of the Basque Country; …

Cite this page

Scholar4AI. (2026). Traffic (PeMS, METR-LA). Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/traffic-pems-metr-la

@misc{scholar4ai-datasets-traffic-pems-metr-la,
  author = {{Scholar4AI}},
  title = {Traffic (PeMS, METR-LA)},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/traffic-pems-metr-la}},
  urldate = {2026-11-04},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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