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Pinar Boyraz Baykas

1 paper hereh-index 457 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • eess.SP1

identity via Semantic Scholar / OpenAlex

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

12 citations · 12 across the 1 of their papers we have counts for

collaborators

1 paper

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…

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