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20182026
most citedShort-term traffic prediction using physics-aware neural networks

34 citations · 70 across the 13 of their papers we have counts for

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eess.SP2021★ 12 cited

Parameter and density estimation from real-world traffic data: A kinetic compartmental approach

Mike Pereira, Pinar Boyraz Baykas, Balázs Kulcsár +1

The main motivation of this work is to assess the validity of a LWR traffic flow model to model measurements obtained from trajectory data, and propose extensions of this model to…