Abstract:
We have analyzed the methods and models how to construct correspondence matrix for urban transport processes. We have also identified the advantages and disadvantages of the models. Having analyzed these models, we chose the relational method of the construction of correspondence matrix. The EVA model of the construction of correspondence matrix was recognized as the most suitable. The article demonstrates how the distribution of traffic flows in St. Petersburg is changed due to the fact that new metro stations such as “Obvodny Kanal”, “Admiralteyskaya”, “Bukharestskaya” and “Mezhdunarodnaya” have been put into operation. We have also outlined technical prospects of the models of the construction of correspondence matrix.
Keywords:
correspondence matrices, transport modeling, single factor growth method, aversge growth rate, Detroit method, Fratara method, gravity model, entropy model, competing centers model, EVA model.
Document Type:
Article
UDC:
656, 004.8, 007.5, 51-74, 510.67
Language: Russian
Citation:
Ya. A. Seliverstov, S. A. Seliverstov, “Methods and models of the construction of transport correspondence matrix”, St. Petersburg Polytechnical University Journal. Computer Science. Telecommunication and Control Sys, 2015, no. 2-3(217-222), 49–70
\Bibitem{SelSel15}
\by Ya.~A.~Seliverstov, S.~A.~Seliverstov
\paper Methods and models of the construction of transport correspondence matrix
\jour St. Petersburg Polytechnical University Journal. Computer Science. Telecommunication and Control Sys
\yr 2015
\issue 2-3(217-222)
\pages 49--70
\mathnet{http://mi.mathnet.ru/ntitu103}
\crossref{https://doi.org/10.5862/JCSTCS.217-222.5}
Linking options:
https://www.mathnet.ru/eng/ntitu103
https://www.mathnet.ru/eng/ntitu/y2015/i2/p49
This publication is cited in the following 5 articles:
Ramin Rzayev, Emil Ahmadov, Lecture Notes in Networks and Systems, 759, Intelligent and Fuzzy Systems, 2023, 642
V. Vdovychenko, I. Ivanov, M. Vasyliev, “FORECASTING PASSENGER TRAFFIC BASED ON STRUCTURE IDENTIFICATION OF NON-STATIONARY TIME SERIES”, MEC, 3:170 (2022), 307
A. I. Fadeev, S. Alhusseini, “Methodology for determining passengers correspondence by public transport from electronic tickets validation operations”, Vestn. SibADI, 19:3 (2022), 370
Ch. D. Shavyraa, “RESULTS OF PASSENGER RESOURCES EXAMINATIONS IN KYZYL CITY OF THE TYVA REPUBLIC”, Vestn. SibADI, 15:5 (2018), 718
S. A. Seliverstov, I. G. Malygin, A. L. Starichenkov, R. R. Muksimova, V. A. Grigoriev, A. N. Asaul, 2017 XX IEEE International Conference on Soft Computing and Measurements (SCM), 2017, 278
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