Traffic congestion modelling: Convex quantile regression approach

Original language	English
Pages	75-76
Publication status	Published - 2022
MoE publication type	Not Eligible

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

• 

Access to Document

• https://www.euro-online.org/conf/admin/tmp/program-euro32.pdf

Equipment

• Science-IT

  Hakala, M. (Manager)

  School of Science

  Facility/equipment: Facility

  • Models 100%
  • Networks 29%
  • Simulation 27%
  • Algorithms 25%
  • User 22%

Research output

Research output per year 2023 2023 2023

• 1 Article

Research output per year

Research output per year

• Stochastic Nonparametric Estimation of the Fundamental Diagram

  Kriuchkov, I. & Kuosmanen, T., May 2023, (Submitted) In: arXiv.org. 33 p.

  Research output: Contribution to journal › Article › Scientific

  File

  • Statistical Inference 100%
  • Stochastics 100%
  • Quantile Regression 100%
  • Regression 50%
  • Flow 37%
  10 Downloads (Pure)

Cite this

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Kriuchkov, I., & Kuosmanen, T. (2022). Traffic congestion modelling: Convex quantile regression approach. 75-76. https://www.euro-online.org/conf/admin/tmp/program-euro32.pdf

Kriuchkov, Iaroslav ; Kuosmanen, Timo. / Traffic congestion modelling: Convex quantile regression approach.

@conference{98c8c13333914106a00b12400a519254,

title = "Traffic congestion modelling: Convex quantile regression approach",

author = "Iaroslav Kriuchkov and Timo Kuosmanen",

year = "2022",

language = "English",

pages = "75--76",

}

Kriuchkov, I & Kuosmanen, T 2022, 'Traffic congestion modelling: Convex quantile regression approach', pp. 75-76. <https://www.euro-online.org/conf/admin/tmp/program-euro32.pdf>

Traffic congestion modelling: Convex quantile regression approach. / Kriuchkov, Iaroslav; Kuosmanen, Timo.
2022. 75-76.

Research output: Contribution to conference › Abstract › Scientific

TY - CONF

T1 - Traffic congestion modelling: Convex quantile regression approach

AU - Kriuchkov, Iaroslav

AU - Kuosmanen, Timo

PY - 2022

Y1 - 2022

M3 - Abstract

SP - 75

EP - 76

ER -

Kriuchkov I, Kuosmanen T. Traffic congestion modelling: Convex quantile regression approach. 2022.