Short-Term Passenger Flow Prediction of Urban Rail Transit Based on a Combined Deep Learning Model

It is difficult for a single model to simultaneously capture the nonlinear, correlation, and periodicity of data series in the passenger flow prediction of urban rail transit (URT). To better predict the short-term passenger flow of URT, based on the long short-term memory network (LSTM) model, a de...

Fuld beskrivelse

Bibliografiske detaljer

Principais autores:	Zhongwei Hou, Zixue Du, Guang Yang, Zhen Yang
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2022-07-01
Serier:	Applied Sciences
Fag:	short-term passenger flow of urban rail transit passenger flow prediction deep learning long short-term memory network temporal convolutional network
Online adgang:	https://www.mdpi.com/2076-3417/12/15/7597
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!