DOAJ Open Access 2026

Prediction of Apron Queue Length Based on a Single-Server Queueing Network Model

Nan Li Jun An Jiayi Peng Xavier Olive Xiao Liu +1 lainnya

Abstrak

Airport aprons are complex, multi-node operational hubs frequently affected by queue congestion resulting from control handovers, taxi conflicts, and external factors. To enable proactive congestion management, we propose a new and accurate method for apron queue length prediction. The core of our approach is a multi-queue network model in which queues are systematically divided by control position and taxi direction. This framework, which applies the Fluid Flow Approximation and is calibrated with historical data, effectively captures the dynamics of multi-node traffic flow. In a validation case study at Beijing Daxing International Airport (ZBAD), the model achieved high accuracy, with the mean absolute error of queue length prediction averaging 0.5 aircraft. The results demonstrate the model’s ability to characterize queue dynamics on a minute-level scale across a full day.

Topik & Kata Kunci

Motor vehicles. Aeronautics. Astronautics

Penulis (6)

Nan Li

Jun An

Jiayi Peng

Xavier Olive

Xiao Liu

Zheng Gao

Format Sitasi

APA MLA BibTeX

Li, N., An, J., Peng, J., Olive, X., Liu, X., Gao, Z. (2026). Prediction of Apron Queue Length Based on a Single-Server Queueing Network Model. https://doi.org/10.3390/aerospace13020156

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Informasi Jurnal

Tahun Terbit: 2026
Sumber Database: DOAJ
DOI: 10.3390/aerospace13020156
Akses: Open Access ✓