Optimization of Low-Altitude Logistics Hub Site Selection and Capacity Allocation Based on Mixed Integer Linear Programming (MILP)
Main Article Content
Abstract
Aerodynamic noise and energy consumption are critical challenges in the operation of ultra-high-speed elevator systems. This study develops a computational-fluid-dynamics-based framework for aerodynamic analysis and multi-objective optimization. A three-dimensional flow-field model incorporating fluid-structure interaction and hybrid turbulence simulation is established to investigate aerodynamic behavior within elevator shafts. Key structural parameters are optimized through a surrogate-assisted genetic algorithm. Experimental and numerical results demonstrate substantial reductions in sound-pressure level, drag coefficient, and energy consumption. The framework provides an effective solution for aerodynamic optimization and energy-efficient transportation systems.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
References
T. Liao, “Analysis of the time utilization mechanism of low-altitude logistics empowering e-commerce platform economy,” E-commerce Review, vol. 15, no. 1, pp. 459-465, 2026, doi: 10.12677/ecl.2026.151058.
B. Hou, F. Liu, and R. Wan, “Research on vehicle-machine collaborative delivery mode in rural Hunan Province under the background of low-altitude logistics,” Logistics Technology, vol. 48, no. 9, pp. 31-33, 2025, doi: 10.13714/j.cnki.1002-3100.2025.09.008.
B. Hou, B. Jiang, and F. Liu, “Analysis of influencing factors of rural truck-UAV collaborative delivery under the perspective of low-altitude logistics,” Journal of Hebei North University (Social Science Edition), vol. 41, no. 4, pp. 82-87, 2025, doi: 10.3969/j.issn.2095-462X.2025.04.015.
J. Zhou, Y. Li, Z. Chen, M. Tan, and F. Liu, “Current Status and Countermeasures of Support System in Low-Altitude Logistics,” High- way Transportation Technology, vol. 41, no. 3, pp. 187-196, 2025, doi: 10.13607/j.cnki.gljt.2025.03.022.
L. Han, X. Yan, and J. Wei, “Research on Intelligent Obstacle Avoidance and Path System of Low-Altitude Logistics UAV for Agricultural Products Based on Multi-Source Perception,” Journal of Jiujiang University (Natural Science Edition), vol. 40, no. 3, pp. 32-36, 2025, doi: 10.19717/j.cnki.jjun.2025.03.006.
Z. Yu, “Assessment of UAV-based low-altitude logistics in urban supply chains: slope-intercepted grey incidence analysis,” Grey Systems: Theory and Application, vol. 15, no. 4, pp. 881-895, 2025, doi: 10.1108/GS-04-2025-0047.
J. Mahoney, D. Ramirez, T. Ramirez, et al., “Low-altitude and high-speed transportation approach for improved logistics efficiency and carbon reduction in urban networks,” Journal of Computer, Signal, and System Research, vol. 2, no. 1, pp. 123-130, 2025, doi: 10.71222/tqje9396.
H. Nakamura, “Optimization of Urban Low-Altitude Logistics Network and Risk Control: A Perspective of Smart City Integration,” Journal of Low-Altitude Economy and Air Mobility, vol. 1, no. 1, pp. 61-80, 2025.
D. Ruiyang, M. Yinian, C. Jialong, et al., “Communications in urban low-altitude drone logistics networks: Requirements, solutions and challenges,” China Communications, vol. 22, no. 9, pp. 37-47, 2025, doi: 10.23919/JCC.fa.2025-0104.202509.
X. Fan, “Low-altitude UAVs and IoT-empowered fresh cold chain logistics system for mountainous areas,” International Journal of Information and Communication Technology, vol. 27, no. 17, pp. 1-17, 2026, doi: 10.1504/IJICT.2026.152197.