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Authors: Xiong Li 1 ; Xiaoqing Chen 2 and Dongbin Li 3

Affiliations: 1 Planning and Design Institute, China Airport Construction Group Corporation, China ; 2 Aviation Industry Development Research Center of China, China ; 3 Department of Air Traffic Management, Civil Aviation of Management Institute of China, China

ISBN: 978-989-758-312-4

Keyword(s): air transportation, capacity evaluation, computer simulation, airport ground operation, Simmod

Abstract: To determine the reasonable and effective ground operation capacity of the airport is of great significance for the overall planning of the airport construction. Selected Beijing Capital International Airport (BCIA) with 3 parallel runways as the research object, the airfield operating models were simulated by using Simmod in current operating condition and optimizing operation condition respectively. The operation capacity of BCIA is close to its maximal value. By reducing the air traffic control separation and optimizing the flight schedule, the flight movements of peak day can reach 1760, and the annual passenger throughput is around 95~98 million-person-times.

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Paper citation in several formats:
Li, X.; Chen, X. and Li, D. (2018). Simulation Research on Optimization of Airport Ground Operation.In 3rd International Conference on Electromechanical Control Technology and Transportation - Volume 1: ICECTT, ISBN 978-989-758-312-4, pages 168-171. DOI: 10.5220/0006967001680171

@conference{icectt18,
author={Xiong Li. and Xiaoqing Chen. and Dongbin Li.},
title={Simulation Research on Optimization of Airport Ground Operation},
booktitle={3rd International Conference on Electromechanical Control Technology and Transportation - Volume 1: ICECTT,},
year={2018},
pages={168-171},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006967001680171},
isbn={978-989-758-312-4},
}

TY - CONF

JO - 3rd International Conference on Electromechanical Control Technology and Transportation - Volume 1: ICECTT,
TI - Simulation Research on Optimization of Airport Ground Operation
SN - 978-989-758-312-4
AU - Li, X.
AU - Chen, X.
AU - Li, D.
PY - 2018
SP - 168
EP - 171
DO - 10.5220/0006967001680171

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