Author(s)

Huaiqian Li ¹, Jiayi Shen ², Weiquan Song ¹

Affiliation(s)

¹ Air Traffic Management College, Civil Aviation University of China, Tianjin, 300300, China
² College of Science, Civil Aviation University of China, Tianjin, 300300, China

Corresponding Author

Huaiqian Li

ABSTRACT

The research aims to optimize the international air transport network under the "the Belt and Road" initiative through improved gravity model and in-depth learning technology. By constructing a comprehensive index system for civil aviation transportation, using principal component analysis to screen key indicators, and combining deep learning to predict route opening. The results show that the accuracy rate of the model prediction reaches 85%, and it can basically identify the potential of opening routes between China and countries along the "the Belt and Road". The research provides scientific basis for route planning and policy formulation, which helps to improve air transportation efficiency and promote regional economic development.

KEYWORDS

Leaf area index, Hyperspectral, PROSAIL, Uncertainty

CITE THIS PAPER

Huaiqian Li, Jiayi Shen, Weiquan Song, Research on the Belt and Road International Network Optimization Initiative Based on Deep Learning. Frontiers in Traffic and Transportation Engineering (2024) Vol. 4: 79-87. DOI: http://dx.doi.org/10.23977/ftte.2024.040110.

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Sponsors, Associates, and Links

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