Research Article

A Hybrid Spatiotemporal Deep Learning Model for Short-Term Metro Passenger Flow Prediction

Table 1

Description statistics of considered variables.

VariablesDescriptionMinMaxMeanS.D.

Metro flow inboundNumber of passengers entering into station every 10 minutes0102083.16188.62
Metro flow outboundNumber of passengers exiting from station every 10 minutes0122385.37194.57
TemperatureThe hourly average temperature during the time interval (°C)15.337.324.3212.935
PrecipitationThe hourly average precipitation during the time interval (mm)049.20.0751.126
Wind speedThe hourly average wind speed during the time interval (m/s)014.33.2071.961
PressureThe hourly average pressure during the time interval (hPa)10001010.21005.212.102