SPATIAL EXTRAPOLATION OF ANISOTROPIC ROAD TRAFFIC DATA

Hans Braxmeier, Volker Schmidt, Evgueni Spodarev

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.

Keywords
anisotropy; asymptotic Gaussian test; Boolean model; kriging; moving neighborhood; randomfield

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DOI: 10.5566/ias.v23.p185-198

Image Analysis & Stereology
EISSN 1854-5165 (Electronic version)
ISSN 1580-3139 (Printed version)