TY - JOUR
TI - Passenger flow forecasting of Zhengzhou Metro Line one based on an improved whale optimization algorithm
AU - He Dasi
AU - Gou Yupeng
AU - Yu Weizhi
AU - Xia Sanxian
AU - Lan Jie
JN - Thermal Science
PY - 2024
VL - 28
IS - 3
SP - 2315
EP - 2322
PT - Article
AB - With the continuous expansion of urban scale in China, the increase of  passenger flow has brought great pressure to the urban public transport  system. An accurate and timely prediction of the short-term passenger flow  at each metro station is extremely important for the metro intelligent  control system to make a timely decision. In this paper, based on the  measured passenger flow data of Zijingshan station of Zhengzhou Metro Line  1, an improved whale optimization algorithm is proposed to predict the  passenger flow on different time scales. The results show that the method  has higher accuracy than the traditional least squares support vector  machines algorithm. The paper opens a new window for nowcasting warning in  the rush hour and long-period optimization of the public transport.