Estimating travel time in transport network with a combined multi-attributed graph convolutional neural network and multilayer perceptron model

In this article, an advanced model for forecasting travel time in road networks is presented, employing a Graph Convolutional Neural Network (GCN) integrated with a Multilayer Perceptron (MLP), focusing on the travel time ratio (TTR). Utilizing data from Poland's Mazovia region, the model analy...

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Bibliographic Details
Published in:Engineering applications of artificial intelligence Vol. 142; p. 109898
Main Author: Betkier, Igor
Format: Journal Article
Language:English
Published: Elsevier Ltd 15.02.2025
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ISSN:0952-1976
Online Access:Get full text
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