HZMetro/SHMetro/PEMS08

HZMetro: This dataset comes from the Hangzhou metro system, China, with 80 stations in operation. The statistics in the dataset are the traffic flow from January 1, 2019 to January 25, 2019 from 5:30 to 23:30. Traffic flow (i.e., the flow of people including inflow and outflow) is aggregated at 15-minute intervals (The purpose of dividing fixed time intervals to count traffic flow is to reflect the change of road traffic flow more clearly and to further analyze the traffic operation pattern of the road. The time granularity of statistics is slightly different for different types of traffic flow. The commonly used time granularities are 5 minutes, 10 minutes, and 15 minutes.), for a total of 72 intervals during this time period in a day.SHMetro: This dataset is built on the Shanghai metro system, China, with 288 stations in operation. The statistics in the dataset are the traffic flow from July 1, 2016 to September 30, 2016. The data selection and temporal intervals are similar to the HZMetro dataset.PEMS08: This dataset is traffic data on the San Bernardino highway in California, with 170 sensors. The data shows traffic flow from July 1, 2016 to August 31, 2016. Traffic flow is aggregated at 5-minute intervals, for a total of 288 intervals in a day.