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{Yang:2017:10.1016/j.trc.2017.08.007,
author = {Yang, L and Yin, S and Hu, M and Han, K and Zhang, H},
doi = {10.1016/j.trc.2017.08.007},
journal = {Transportation Research Part C: Emerging Technologies},
pages = {219--244},
title = {Empirical exploration of air traffic and human dynamics in terminal airspaces},
url = {http://dx.doi.org/10.1016/j.trc.2017.08.007},
volume = {84},
year = {2017}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - We propose a multi-layer network approach to model and analyze air traffic terminal networks, which are viewed as complex, task-critical, techno-social systems with numerous interactions among airspaces, procedures, aircraft, and air traffic controllers (ATCOs). Route-based Airspace Network (RAN) and Flight Trajectory Network (FTN) are developed to represent critical physical and operational characteristics. Integrated Flow-Driven Network (IFDN) and Interrelated Conflict-Communication Network (ICCN) are formulated to represent air traffic flow transmissions and intervention from ATCOs, respectively. Furthermore, a set of analytical metrics, including network variables, complex network attributes, controllers’ cognitive complexity, and chaos metrics, are introduced and applied in a case study of Guangzhou terminal airspace. Empirical results show the existence of fundamental diagram and macroscopic fundamental diagram at the route, sector and terminal levels. Moreover, the dynamics and underlying mechanisms of “ATCOs-flow” interactions are revealed and interpreted by adaptive meta-cognition strategies based on network analysis of the ICCN. Finally, at the system level, chaos is identified in the conflict system and human behavioral system when traffic switches to the semi-stable or congested phase. This study offers analytical tools for understanding the complex human-flow interactions at potentially a broad range of air traffic systems, and underpins future developments and automation of intelligent air traffic management systems.
AU - Yang,L
AU - Yin,S
AU - Hu,M
AU - Han,K
AU - Zhang,H
DO - 10.1016/j.trc.2017.08.007
EP - 244
PY - 2017///
SN - 0968-090X
SP - 219
TI - Empirical exploration of air traffic and human dynamics in terminal airspaces
T2 - Transportation Research Part C: Emerging Technologies
UR - http://dx.doi.org/10.1016/j.trc.2017.08.007
UR - http://www.sciencedirect.com/science/article/pii/S0968090X17302115
UR - http://hdl.handle.net/10044/1/50552
VL - 84
ER -