Imperial College London

Dr Ke Han

Faculty of EngineeringDepartment of Civil and Environmental Engineering

Senior Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 5682k.han Website CV

 
 
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Assistant

 

Mrs Maya Mistry +44 (0)20 7594 6100

 
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Location

 

605Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Yin:2018:10.1007/s11067-018-9402-5,
author = {Yin, J and Hu, M and Ma, Y and Han, K and Chen, D},
doi = {10.1007/s11067-018-9402-5},
journal = {Networks and Spatial Economics},
title = {Airport taxi situation awareness with a macroscopic distribution network analysis},
url = {http://dx.doi.org/10.1007/s11067-018-9402-5},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - 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.
AU - Yin,J
AU - Hu,M
AU - Ma,Y
AU - Han,K
AU - Chen,D
DO - 10.1007/s11067-018-9402-5
PY - 2018///
SN - 1566-113X
TI - Airport taxi situation awareness with a macroscopic distribution network analysis
T2 - Networks and Spatial Economics
UR - http://dx.doi.org/10.1007/s11067-018-9402-5
UR - https://link.springer.com/article/10.1007/s11067-018-9402-5
UR - http://hdl.handle.net/10044/1/62217
ER -