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Detection of correlational dependencies between traffic demand and population density on streets with irregular traffic

https://doi.org/10.31660/2782-232X-2022-3-39-45

Abstract

This article discusses the main ways to solve the problem associated with limited information about the parameters of traffic flows on the network of streets at the stage of development of construction project drawings and specifications for streets with irregular transport demand. The task was to interpret the data obtained through remote monitoring, in the equations of finding the intensity on the streets with an irregular traffic. During the experiments, a large volume of statistical data was obtained. Based on it graphical models of dependencies of traffic intensity and population density were developed. The mathematical description of the graphical data was presented as the particular equations that took into account the differential influence of significant factors in areas of various functional purposes. The reasonability of using the developed functions is determined by the possibility of finding the required characteristics with minimal expenses of resources. A formalized model of multifactor dependence based on the synthesis of particular equations and took into account all selected parameters, has been proposed. The conclusion on the future research was formed, namely about the possibility of testing the equations for the settlements of near and far abroad and the calculation of the economic evaluation to replace the existing methods.

About the Authors

T. G. Babich
Industrial University of Tyumen
Russian Federation

Tatyana G. Babich, Assistant at the Department of Highways and Airfields

Tyumen



A. A. Testeshev
Industrial University of Tyumen
Russian Federation

Alexander A. Testeshev, Candidate of Engineering, Associate Professor at the Department of Highways and Airfields

Tyumen



References

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For citations:


Babich T.G., Testeshev A.A. Detection of correlational dependencies between traffic demand and population density on streets with irregular traffic. Architecture, Construction, Transport. 2022;(3):39-45. (In Russ.) https://doi.org/10.31660/2782-232X-2022-3-39-45

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ISSN 2782-232X (Print)
ISSN 2713-0770 (Online)