Research on Taxiing Path Planning of Hub Airport Based on Dijkstra Algorithm

<div class="section abstract"><div class="htmlview paragraph">Aiming at the problem of insufficient capacity of taxiways in hub airports, which combine the safety interval, conflict resolution and fair principles, a taxiway planning model is established by taking the shortest taxiway as the optimisation goal, considering fuel consumption and exhaust emissions. Dijkstra algorithm is used to transform the taxiing path into an adjacency matrix, and conflict resolution is carried out in a weighted way. Under the premise of ensuring zero conflict of taxiways, the total taxiing distance is reduced. Based on actual operational data from a hub airport in China, the results show that the proposed taxiing path planning method is feasible, shortening the aircraft taxiing distance and improving the surface taxiing efficiency.</div></div>

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Publication Details

Journal
SAE technical papers on CD-ROM/SAE technical paper series
Published
2025-02-20
DOI
https://doi.org/10.4271/2025-01-7198
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on Taxiing Path Planning of Hub Airport Based on Dijkstra Algorithm

Minyu Feng, Hongbin Zhang, Xinyue Qi
SAE technical papers on CD-ROM/SAE technical paper series
Traffic control and management
article

Research on Taxiing Path Planning of Hub Airport Based on Dijkstra Algorithm

Minyu Feng, Hongbin Zhang, Xinyue Qi
article en

Abstract

<div class="section abstract"><div class="htmlview paragraph">Aiming at the problem of insufficient capacity of taxiways in hub airports, which combine the safety interval, conflict resolution and fair principles, a taxiway planning model is established by taking the shortest taxiway as the optimisation goal, considering fuel consumption and exhaust emissions. Dijkstra algorithm is used to transform the taxiing path into an adjacency matrix, and conflict resolution is carried out in a weighted way. Under the premise of ensuring zero conflict of taxiways, the total taxiing distance is reduced. Based on actual operational data from a hub airport in China, the results show that the proposed taxiing path planning method is feasible, shortening the aircraft taxiing distance and improving the surface taxiing efficiency.</div></div>

SAE technical papers on CD-ROM/SAE technical paper seriesVol. 1
University of Science and Technology of China (CN), Jiangsu University of Science and Technology (CN)
Openalex Percentile: Top 97%
Traffic control and management
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Research on Taxiing Path Planning of Hub Airport Based on Dijkstra Algorithm — Minyu Feng, Hongbin Zhang, et al. · SAE technical papers on CD-ROM/SAE technical paper series (2025) | TGRS Research Map | TGRS