| Citation: | DU Wenbo, SHI Wanjun, LIAO Shengshi, et al. Passenger flow forecasting of airport express based on time and feature cooperative attention[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(9): 1605-1612. doi: 10.13700/j.bh.1001-5965.2022.0321(in Chinese)
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Accurate prediction of passenger flow of airport express rail is the basis for realizing intelligent, refined and efficient control of airport rail transit system. And it is of great significance to improve airport service levels and operational efficiency. The correct prediction of airport express rail passenger flow is particularly difficult due to the complex interplay of multiple factors that influence passenger flow in complicated ways. In this paper, an airport express passenger flow prediction model based on time and feature cooperative attention mechanism is proposed to accurately capture the influence degree of multi-dimensional factors on express passenger flow in different time series. Based on the actual passenger flow data of Beijing Capital International Airport, the experiment results show that the proposed method is effective.
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