A Hybrid GLM Model for Predicting Citywide Spatio-Temporal Metro Passenger Flow

A Hybrid GLM Model for Predicting Citywide Spatio-Temporal Metro Passenger Flow

Accurate prediction of citywide short-term metro passenger flow is essential to urban management and transport scheduling. Recently, an increasing number of researchers have applied deep learning models to passenger flow prediction. Nevertheless, the task is still challenging due to the complex spat...

Full description

Bibliographic Details
Main Authors: Yong Han, Tongxin Peng, Cheng Wang, Zhihao Zhang, Ge Chen
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:ISPRS International Journal of Geo-Information
Subjects:
deep learning
short-term passenger flow prediction
graph attention network
long short-term memory network
hybrid model
Online Access:https://www.mdpi.com/2220-9964/10/4/222

Internet

https://www.mdpi.com/2220-9964/10/4/222

Similar Items