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Traffic Prediction datasets

archive 2025-07-28

20 datasets carry the task tag "Traffic Prediction" (the task itself: Traffic Prediction), ordered by the archive's paper count. Page 1 of 1: 20 shown of 20. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Traffic Prediction datasets 1–20 of 20

This dataset contains the traffic data in San Bernardino from July to August in 2016, with 170 detectors on 8 roads with a time interval of 5 minutes.
44 papers · 1 benchmark
PeMSD7 is traffic data in District 7 of California consisting of the traffic speed of 228 sensors while the period is from May to June in 2012 (only weekdays) with a time interval of 5 minutes.
26 papers · 2 benchmarks
LargeST (LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting)
In this work, we propose LargeST as a new benchmark dataset (see Figure 1), with the goal of facilitating the development of accurate and efficient methods in the context of large-scale traffic forecasting.
25 papers · 1 benchmark
The dataset refers to the traffic speed data in San Francisco Bay Area, containing 307 sensors on 29 roads.
20 papers · 1 benchmark
PeMS08 is a traffic forecasting dataset.
17 papers · 1 benchmark
Taxi flow data of New York City with grid 20x10.
12 papers · 1 benchmark
EXPY-TKY (Expressway-Tokyo)
EXPY-TKY contains the traffic speed information and the corresponding traffic incident information in 10-minute interval for 1843 expressway road links in Tokyo over three months (2021/10∼2021/12).
9 papers · 1 benchmark
Q-Traffic is a large-scale traffic prediction dataset, which consists of three sub-datasets: query sub-dataset, traffic speed sub-dataset and road network sub-dataset.
6 papers · 1 benchmark
Bike flow data of New York City with grid 16x8.
4 papers · 1 benchmark
Bike flow data of New York City.
4 papers · 1 benchmark
SZ-Taxi (Shenzhen Taxi Speed)
Taxi speed data in 15min interval from 156 sensors on major roads of Luohu District in Shenzhen, China, from Jan.
4 papers · 1 benchmark
The Beijing Traffic Dataset collects traffic speeds at 5-minute granularity for 3126 roadway segments in Beijing between 2022/05/12 and 2022/07/25.
1 paper · 1 benchmark
This repository contains three graph datasets for the UE traffic assignment problem on Sioux-Falls, Eastern-Massachusetts and Anaheim networks in both dgl and pyg formats.
1 paper · 0 benchmarks
This is the static test data from the study "Global Geolocated Realtime Data of Interfleet Urban Transit Bus Iding" collected by GRD-TRT-BUF-4I.
1 paper · 0 benchmarks
VLUC (Video-Like Urban Computing)
VLUC (Video-Like Urban Computing) is a benchmark for video-like computing on citywide traffic density and crowd prediction.
1 paper · 0 benchmarks
CTV-Dataset (Cyclist Top-View Dataset)
The CTV-Dataset (CTV stands for Cyclist Top-View) is a trajectories dataset for cyclist behaviour in mixed-traffic environments (aka.
0 papers · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.