Paper
14 February 2024 Research on optimization of hub airline network based on simulated annealing algorithm
Qing Zhang, Xin Zhou
Author Affiliations +
Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 130184W (2024) https://doi.org/10.1117/12.3024068
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China
Abstract
Constructing and optimizing hub airline networks is crucial to building civil aviation hubs. In this study, 15 cities are selected to construct a green optimization model with the minimum transportation cost and the minimum carbon emission as the objective function for the hub airline network. A simulated annealing algorithm is used to analyse the model so that the hub airline network can be optimized under the uncertainty of both transportation cost and demand. Results are as follows: (1) The transportation discount between hub cities significantly impacts transportation costs and carbon emissions. When the quantity of hub cities is three or four, as the discount factor decreases, the transportation cost of the airline network gradually decreases, while the carbon emission gradually increases and then stabilizes; (2) The change in the quantity of hub cities has a significant impact on the transportation cost and carbon emission. Compared to the airline network with three hub cities, the transportation cost of the airline network with four hub cities increases significantly, and the carbon emission decreases significantly; (3) Based on the green optimization model for the hub airline network, when the quantity of hub cities is 4 and the discount factor is 0.7, the hub airline network is the optimal solution that can achieve a balance between economic and environment.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Qing Zhang and Xin Zhou "Research on optimization of hub airline network based on simulated annealing algorithm", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 130184W (14 February 2024); https://doi.org/10.1117/12.3024068
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KEYWORDS
Transportation

Carbon

Mathematical optimization

Algorithms

Pollution control

Data modeling

Particle swarm optimization

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