Extracting multi-objective multigraph features for the shortest path cost prediction: Statistics-based or learning-based?

Extracting multi-objective multigraph features for the shortest path cost prediction: Statistics-based or learning-based?

Efficient airport airside ground movement (AAGM) is key to successful operations of urban air mobility. Recent studies have introduced the use of multi-objective multigraphs (MOMGs) as the conceptual prototype to formulate AAGM. Swift calculation of the shortest path costs is crucial for the algorit...

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Bibliographic Details
Main Authors: Songwei Liu, Xinwei Wang, Michal Weiszer, Jun Chen
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:Green Energy and Intelligent Transportation
Subjects:
Multi-objective multigraph
Feature extraction
Shortest path cost prediction
Node patterns
Node embeddings
Regression
Online Access:http://www.sciencedirect.com/science/article/pii/S2773153723000658

Internet

http://www.sciencedirect.com/science/article/pii/S2773153723000658

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