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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
Citation Metrics
Citations
159
Influential Citations
5
Reference Count
87
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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