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Forecasting the evolution of fast-changing transportation networks using machine learning

Transportation

Forecasting the evolution of fast-changing transportation networks using machine learning

W. Lei, L. G. A. Alves, et al.

This research explores the dynamic of edge removal in major transportation networks, specifically the Brazilian bus and U.S. air systems, utilizing machine learning for accurate predictions. Conducted by Weihua Lei, Luiz G. A. Alves, and Luís A. Nunes Amaral, the study highlights complex behavior amidst external shocks, offering valuable insights for infrastructure planning.

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~3 min • Beginner • English
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