Spatial-temporal memory enhanced multi-level attention network for origin-destination demand prediction

Abstract Origin-destination demand prediction is a critical task in the field of intelligent transportation systems. However, accurately modeling the complex spatial-temporal dependencies presents significant challenges, which arises from various factors, including spatial, temporal, and external in...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Jiawei Lu, Lin Pan, Qianqian Ren
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Springer 2024-06-01
Schriftenreihe:	Complex & Intelligent Systems
Schlagworte:	Traffic prediction Origin-destination demand Multi-level attention Spatial-temporal memory
Online-Zugang:	https://doi.org/10.1007/s40747-024-01494-0
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!