Research on the Belt and Road International Network Optimization Initiative Based on Deep Learning
Huaiqian Li, Jiayi Shen, Weiquan Song · Frontiers in Traffic and Transportation Engineering · 2024
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.