A Novel Traffic Flow Forecasting Method Based on RNN-GCN and BRB

As an important part of a smart city, intelligent transport can effectively reduce energy consumption and environmental pollution. Traffic flow forecasting provides a reliable traffic dispatch basis for intelligent transport, and most of the existing prediction methods only predict a single saturati...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of advanced transportation 2020-10, Vol.2020 (2020), p.1-11, Article 7586154
Hauptverfasser:	Ma, Ning, Zhu, Kaili, Sun, Chao, He, Wei, Xie, Yawen, Zhu, Hailong, Zhou, Guohui
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analysis Artificial neural networks Convolution Deep learning Energy conservation Energy consumption Engineering Engineering, Civil Fault diagnosis Forecasting Forecasts and trends Kalman filters Medical research Methods Neural networks Neurons Pollution dispersion Pollution effects Recurrent neural networks Saturation Science & Technology Technology Topology Traffic congestion Traffic flow Traffic information Traffic speed Transportation Transportation Science & Technology
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!