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Inverting the fundamental diagram and forecasting boundary conditions: how machine learning can improve macroscopic models for traffic flow - MaRDI portal

Inverting the fundamental diagram and forecasting boundary conditions: how machine learning can improve macroscopic models for traffic flow (Q6660072)

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scientific article; zbMATH DE number 7964512
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English
Inverting the fundamental diagram and forecasting boundary conditions: how machine learning can improve macroscopic models for traffic flow
scientific article; zbMATH DE number 7964512

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    Inverting the fundamental diagram and forecasting boundary conditions: how machine learning can improve macroscopic models for traffic flow (English)
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    10 January 2025
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    hybrid traffic models
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    vehicles
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    fundamental diagram
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    LWR model
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    machine learning
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    LSTM
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