id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-6866	Jiang, Jiawei; Zhao, Jinbao; Liu, Wenjing; Xu, Yuejuan; Li, Mingxing	Short-term Prediction of Suzhou Rail Transit Passenger Flow Based on Combination Model	2023	9	.pdf	application/pdf	3952	245	56	Meanwhile, the study compares with the ARIMA and BP neural network models. But for rail transit operations, passenger flow prediction is becoming more and more important and has become a key issue in transportation planning.	cache/ajst-6866.pdf	txt/ajst-6866.txt