Exploring the impact of weather on Metro demand forecasting using machine learning method. (arXiv:2210.13965v1 [cs.LG])

Urban rail transit provides significant comprehensive benefits such as large
traffic volume and high speed, serving as one of the most important components
of urban traffic construction management and congestion solution. Using real
passenger flow data of an Asian subway system from April to June of 2018, this
work analyzes the space-time distribution of the passenger flow using
short-term traffic flow prediction. Stations are divided into four types for
passenger flow forecasting, and meteorological records are collected for the
same …

arxiv demand forecasting forecasting impact machine machine learning weather