Exploring memory-facilitated graph neural networks for traffic forecasting

Traffic forecasting is essential for optimising intelligent transport systems (ITS), directly impacting traffic congestion, accident reduction, and transportation efficiency. With the success of deep learning, methods like graph neural networks and Transformers have been applied to traffic predictio...

Full description

Bibliographic Details

Main Author:	Ye Wei
Format:	Default Thesis
Published:	2024
Subjects:	Other information and computing sciences not elsewhere classified deep learning graph neural network memory network traffic forecasting
Online Access:	https://dx.doi.org/10.26174/thesis.lboro.27854574.v1
Tags:	Add Tag No Tags, Be the first to tag this record!