ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Road Speed

Predicting road traffic speed is a challenging task due to different types of roads, abrupt speed change and spatial dependencies between roads; it requires the modeling of dynamically changing spatial dependencies among roads and temporal patterns over long input sequences. This paper proposes a no...

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Veröffentlicht in:	arXiv.org 2020-10
Hauptverfasser:	Park, Cheonbok, Lee, Chunggi, Bahng, Hyojin, Yunwon Tae, Kim, Kihwan, Jin, Seungmin, Ko, Sungahn, Choo, Jaegul
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Predictions Qualitative analysis Roads Roads & highways Spatial dependencies Traffic speed
Online-Zugang:	Volltext
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