期刊
TRANSPORTMETRICA B-TRANSPORT DYNAMICS
卷 11, 期 1, 页码 257-278出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/21680566.2022.2062481
关键词
Queueing theory; multinomial logit; passenger congestion alleviation; bi-level programming; airport ground-access system
This paper proposes a bi-level programming model to optimize the queueing network in airport access, which can alleviate queue congestion and improve passenger evacuation efficiency in airport public transport systems.
Airport public transport systems are plagued by passenger queue congestion, imposing a substandard travel experience and unexpected delays. To address this issue, this paper proposes a bi-level programming for optimizing queueing network in airport access. Firstly, we derive queueing network for airport public transport system, which include the taxi, bus, and subway. Then, we propose a bi-level programming model for optimizing queueing network. The lower level subprogram is designed to solve the passenger transport mode choice, while the upper level subprogram is designed to minimize the number of passengers waiting to be served with queue tolls. Finally, we develop the successive weighted averages (MSWA) method to solve the lower subprogram's passenger share rates and the ant lion optimization (ALO) method to solve the bi-level program's queue toll scheme. The simulation results highlight that our strategy can alleviate queue congestion for daytime and evening scenarios and effectively improve evacuation efficiency.
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