Airport taxi situation awareness with a macroscopic distribution network analysis

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Title: Airport taxi situation awareness with a macroscopic distribution network analysis
Authors: Yin, J
Hu, M
Ma, Y
Han, K
Chen, D
Item Type: Journal Article
Abstract: This paper proposes a framework for airport taxi situation awareness to enhance the assessment of aircraft ground movements in complex airport surfaces. Through a macroscopic distribution network (MDN) of arrival and departure taxi processes in a spatial-temporal domain, we establish two sets of taxi situation indices (TSIs) from the perspectives of single aircraft and the whole network. These TSIs are characterized into five categories: aircraft taxi time indices (ATTIs), surface instantaneous flow indices (SIFIs), surface cumulative flow indices (SCFIs), aircraft queue length indices (AQLIs), and slot resource demand indices (SRDIs). The coverage of the TSIs system is discussed in detail based on the departure and arrival reference aircraft. A real-world case study of Shanghai Pudong airport demonstrates significant correlations among some of the proposed TSIs such as the ATTIs, SCFIs and AQLIs. We identify the most crucial influencing factors of the taxi process and propose two new metrics to assess the taxi situation at the aircraft and network levels, by establishing taxi situation assessment models instead of using two systems of multiple TSIs. The findings can provide significant references to decision makers regarding airport ground movements for the purposes of air traffic scheduling and congestion control in complex airports.
Issue Date: 20-Jun-2018
Date of Acceptance: 8-Jun-2018
ISSN: 1566-113X
Publisher: Springer Verlag
Journal / Book Title: Networks and Spatial Economics
Copyright Statement: © 2018 Springer-Verlag. The final publication is available at Springer via
Keywords: macroscopic distribution network
situation awareness
airport performance
air traffic management
0102 Applied Mathematics
Logistics & Transportation
Publication Status: Published online
Online Publication Date: 2018-06-20
Appears in Collections:Faculty of Engineering
Civil and Environmental Engineering

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