Passenger queue congestion in the airport public transport system would cause poor travel experience and unexpected time cost. To solve this problem, we propose a hybrid congestion alleviation strategy based on transport capacity adjustment and passenger guidance in this paper. Firstly, we develop queueing models for three common ground access modes of airports, taxi, bus and subway. Then, we develop the method of successive weighted averages (MSWA) in the queueing system to optimize the passenger share rates among different airport ground access modes based on minimum queueing time. Finally, we present the complete hybrid passenger congestion alleviation strategy consists of adjusting the taxi arrival rate and bus service rate, and generating a guidance on passenger access mode choices, which can alleviate the passenger queue congestion in practical application based on obtained optimal passenger share rates. In the numerical experiments, we set two groups of parameters under the normal situation and the COVID-19 epidemic situation. The numerical results show that our strategy can alleviate the queue congestion and improve the evacuation efficiency effectively in both two backgrounds.
Passenger Congestion Alleviation in Large Hub Airport Ground Access System Based on Queueing Theory