Spatiotemporal Features—Extracted Travel Time Prediction Leveraging Deep-Learning-Enabled Graph Convolutional Neural Network Model

Spatiotemporal Features—Extracted Travel Time Prediction Leveraging Deep-Learning-Enabled Graph Convolutional Neural Network Model

Travel time prediction is one of the most important parameters to forecast network-wide traffic conditions. Travelers can access traffic roadway networks and arrive in their destinations at the lowest costs guided by accurate travel time estimation on alternative routes. In this study, we propose a...

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Bibliographic Details
Main Authors:	Xiantong Li, Hua Wang, Pengcheng Sun, Hongquan Zu
Format:	Article
Language:	English
Published:	MDPI AG 2021-01-01
Series:	Sustainability
Subjects:	spatial–temporal feature convolutional neural network long short-term memory network attention mechanism
Online Access:	https://www.mdpi.com/2071-1050/13/3/1253

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