(1)IBRL数据集
下载地址：http://db.csail.mit.edu/labdata/labdata.html
(2) SensorScope数据集
下载地址：https://zenodo.org/record/2654726#.YbdgTEZByLQ
(3) 北京气象数据
下载地址：
https://www.microsoft.com/en-us/research/project/%E5%9F%8E%E5%B8%82%E8%AE%A1%E7%AE%97/
(4)PEMS04: The dataset refers to the traffic speed data in San Francisco Bay Area, containing 307 sensors on 29 roads. The time span of the dataset is January-February in 2018. It is a popular benchmark for traffic forecasting.
https://drive.google.com/drive/folders/1Gv1MXjLo5bLGep4bsqDyaNMI2oQC9GH2
(5)PEMS07 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. This dataset is popular for benchmark the traffic forecasting models.
https://drive.google.com/drive/folders/1Gv1MXjLo5bLGep4bsqDyaNMI2oQC9GH2
(6)PEMS08 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. This dataset is popular as a benchmark traffic forecasting dataset.
https://drive.google.com/drive/folders/1Gv1MXjLo5bLGep4bsqDyaNMI2oQC9GH2
(7)METR-LA METR-LA: This dataset contains traffic information collected from 207 loop detectors in the highway of Los Angeles County, whose period is Mar 1st to Jun 30th, 2012.
https://github.com/liyaguang/DCRNN
(8)PEMS-BAY This traffic dataset is collected from 325 sensors in the Bay Area by California Transportation Agencies (CalTrans) Performance Measurement System (PeMS),whose period is Jan 1st to May 31st, 2017. The readings of both datasets are aggregated in 5-minute intervals.
https://github.com/liyaguang/DCRNN
