Determination of Critical Edges in Air Route Network Using Modified Weighted Sum Method and Grey Relational Analysis

Gupta, B B, Ahmad, Amreen, Ahmad, Tanvir, Ahmad, Musheer, Muthanna, Ammar and Abd El-Latif, Ahmed A. Determination of Critical Edges in Air Route Network Using Modified Weighted Sum Method and Grey Relational Analysis. IEEE Transactions on Intelligent Transportation Systems, 24 (12). pp. 15578-15589. ISSN 1524-9050

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Abstract

The air transportation system has attracted due attention from researchers due to its fast expansion over the last decade. Past research has focused on air transportation networks (ATN), but this work considers the resilience of the air route network.This research work proposes a modified approach based on GRA-WSM, named MA (Modified Approach based on GRA-WSM) for the identification of critical edges that form the backbone of the Chinese air route network. MA is a two-step process: Initially, important nodes are identified using the proposed GRA-WSM, and second, a novel approach is used for the computation of critical edges. Previously, researchers have used edge betweenness centrality measure to identify vital edges. But it took into account the global information of a node. This research work considers different centrality measures as the multi-attribute of the network, to take advantage of each centrality measure. The proposed MA approach aims to minimize the robustness of the network after the removal of some edges and the result is the set of critical edges. The critical edges found by the proposed MA approach are different from the edges that are topologically more important. These findings provide new perspectives on how to better understand other real-world networks.

Affiliation: Skyline University College
SUC Author(s): Gupta, B B
All Author(s): Gupta, B B, Ahmad, Amreen, Ahmad, Tanvir, Ahmad, Musheer, Muthanna, Ammar and Abd El-Latif, Ahmed A.
Item Type: Article
Uncontrolled Keywords: Critical edges, air route network, resilience, salient nodes
Subjects: B Information Technology > BW Computer Networks
Divisions: Skyline University College > School of IT
Depositing User: Mr Mosys Team
Date Deposited: 25 Dec 2023 13:55
Last Modified: 25 Dec 2023 13:55
URI: https://research.skylineuniversity.ac.ae/id/eprint/621
Publisher URL: https://ieeexplore.ieee.org/abstract/document/9896...
Publisher OA policy: https://v2.sherpa.ac.uk/id/publication/3482?templa...
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