TY  - Data
T1  - California Region 7 High-Speed Traffic Data Set (PEMS07)
A1  - zhang xin min
PY  - 2026
DA  - 2026-07-09
PB  - National Cryosphere Desert Data Center
AB  - California's Seventh Region High-Speed Traffic Flow Data Set (PEMS07) takes the California Transportation Authority's Seventh Region (Los Angeles + Ventura County) highway network as the research area. It is based on traffic flow, speed, and occupancy data collected by the Caltrans PeMS system. Data, unified screening, cleaning, and standardization to form a large-scale road network traffic prediction benchmark data set. The data set contains 883 loop detectors, with a time range from May 1, 2017 to August 31, 2017, a time resolution of 5 minutes, a total of 28224 time steps, completely covering the four-month all-day traffic sequence. The original collection includes three traffic characteristics: flow rate, speed, and lane occupancy. The mainstream of the experiment uses single flow feature modeling; the original missing values are filled in through time series linear interpolation, and the finished data set has no missing. It is divided into training set, verification set and test set according to the time series ratios of 60%, 20%, and 20%. Based on road network distances, thresholded Gaussian kernels are used to build a weighted adjacency matrix between sensors. This dataset is the largest open traffic spatio-temporal benchmark dataset with current node size. It is widely used for model performance verification such as large-scale road network spatio-temporal map neural networks, long-time series traffic flow prediction, and road network heterogeneity modeling.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/296b5fac-21d3-4619-b898-932b864b8546
ER  -