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Data-driven analysis and forecasting of highway traffic dynamics
TransportationNature Communications

Data-driven analysis and forecasting of highway traffic dynamics

A. M. Avila and I. Mezić

Highway traffic congestion poses major economic challenges. In their pioneering research, A. M. Avila and I. Mezić delve into a model-free, data-driven approach using Koopman mode decomposition (KMD) to analyze and forecast traffic dynamics, revealing exciting spatiotemporal patterns and improving highway network predictions.... show more
Introduction
Literature Review
Methodology
Key Findings
Discussion
Conclusion
Limitations
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