Abstract: Questions of an estimation of correspondence for transport models are considered. The short review of existing methods is given. As the alternative approach are suggested to use Markov chains, Bayes estimations and estimations of the maximum probability for matrixes of transitive probabilities on the basis of the aggregated and not aggregated data. Ways of the account of the aprioristic information on transport correspondence are analyzed. Examples of use of the developed methods are resulted. Keywords: transport areas, transport correspondence, Markov chains, an estimation under the aggregated data of matrixes of transitive probabilities.
Keywords: transport areas, transport correspondence, markov chains, an estimation of correspondence under the aggregated data
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For citation:
Habarov V. I., Molodtsov D. O., Homyakov S. G. Model Markov chains for transport correspondence. Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki, 2012, no. 1(25), – p. 1. pp. 113–117.
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