Origin-destination matrix estimation with a conditionally binomial model

Pirkko Kuusela (Corresponding Author), Ilkka Norros, Jorma Kilpi, Tomi Räty

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Abstract

A doubly stochastic, conditionally binomial model is proposed to describe volumes of vehicular origin-destination flows in regular vehicular traffic, such as morning rush hours. The statistical properties of this model are motivated by the data obtained from inductive loop traffic counts. The model parameters can be expressed as rational functions of the first and second order moments of the observed link counts. Challenges arising from the inaccuracy of moment estimates are studied. A real origin-destination traffic problem of Tampere city is solved by optimisation methods and the accuracy of the solution is examined.

Original languageEnglish
Article number43
Number of pages12
JournalEuropean Transport Research Review
Volume12
Issue number1
DOIs
Publication statusPublished - 17 Jun 2020
MoE publication typeA1 Journal article-refereed

Keywords

  • Doubly stochastic
  • Method of moments
  • Optimisation
  • Origin-destination flow
  • Traffic matrix
  • Vehicular traffic

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