SPATIAL EXTRAPOLATION OF ANISOTROPIC ROAD TRAFFIC DATA

Authors

  • Hans Braxmeier
  • Volker Schmidt
  • Evgueni Spodarev

DOI:

https://doi.org/10.5566/ias.v23.p185-198

Keywords:

anisotropy, asymptotic Gaussian test, Boolean model, kriging, moving neighborhood, randomfield

Abstract

A method of spatial extrapolation of traffic data is proposed. The traffic data is given by GPS signals over downtown Berlin sent by approximately 300 taxis. To reconstruct the traffic situation at a given time spatially, i.e., in the form of traffic maps, kriging with moving neighborhood based on residuals is used. Due to significant anisotropy in directed traffic data, the classical kriging has to be modified in order to include additional information. To verify the extrapolation results, test examples on the basis of a well-known model of stochastic geometry, the Boolean random function are considered.

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Published

2011-05-03

Issue

Section

Original Research Paper

How to Cite

Braxmeier, H., Schmidt, V., & Spodarev, E. (2011). SPATIAL EXTRAPOLATION OF ANISOTROPIC ROAD TRAFFIC DATA. Image Analysis and Stereology, 23(3), 185-198. https://doi.org/10.5566/ias.v23.p185-198

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