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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Vydané v:	Engineering applications of artificial intelligence Ročník 142; s. 109898
Hlavný autor:	Betkier, Igor
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.02.2025
Predmet:	Artificial Neural Networks Graph convolutional neural network Graph neural networks Traffic Traffic Estimation Traffic Speed Traffic Estimation Traffic Speed Graph neural networks Artificial Neural Networks Graph convolutional neural network Traffic
ISSN:	0952-1976
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