Identification of urban infrastructure objects using the remote satellite sensing of traffic flows on streets with irregular traffic
https://doi.org/10.31660/2782-232X-2021-4-60-66
Abstract
The article deals with the problems of determining the intensity of traffic flows on streets and roads with irregular traffic for the purposes of design, heavy repair, reconstruction and traffic management. The impossibility of using existing monitoring methods at decentralized transport facilities and algorithms for decrypting remote satellite surveillance materials predetermined the necessity of developing a mathematical model within the framework of multifactor forecasting. During the studying of significant factors, the influence of variability in the population density and the capacity of general education facilities was investigated. Identification signs of educational institutions used in the interpretation of satellite images were obtained. The polynomial dependences of the traffic intensity on the specified characteristics were developed. The carried out correlation assessment allows us to talk about the high degree of reliability of results of analytical determination of intensity on the streets with irregular traffic.
About the Authors
A. A. Testeshev
Industrial University of Tyumen
Russian Federation
Russian Federation
Alexander A. Testeshev, Candidate of Engineering, Associate Professor at the Department of Highways and Airfields
Tyumen
T. G. Babich
Industrial University of Tyumen
Russian Federation
Russian Federation
Tatyana G. Babich, Assistant at the Department of Highways and Airfields
Tyumen
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Review
For citations:
Testeshev A.A., Babich T.G. Identification of urban infrastructure objects using the remote satellite sensing of traffic flows on streets with irregular traffic. Architecture, Construction, Transport. 2021;(4):60-66. (In Russ.) https://doi.org/10.31660/2782-232X-2021-4-60-66
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