The use of statistical modeling to assess the effectiveness of the application of adaptive control and reconstruction of the road network intersections
https://doi.org/10.31660/2782-232X-2021-3-40-49
Abstract
The article discusses the issues and results of the use of statistical modeling (one of the types of simulation modeling, the so-called "Monte Carlo" method), to assess the effectiveness of traffic management on the example of the Timofey Charkov st. and Verkhnetarmanskaya st. intersection, located in the city of Tyumen. The results are based on the length of the vehicle queue and traffic delay time for one car in the scenario of widening the intersection’s carriageway and/or the implementation of the adaptive regulation for traffic flows. The calculations were carried out in the "SmartAdaptive+" program developed by the authors, and designed for a technical and economic assessment of the effectiveness of traffic management measures and the use of adaptive regulation and measures to change the road network nodes configuration.
About the Authors
R. V. Andronov
Industrial University of Tyumen
Russian Federation
Russian Federation
Roman V. Andronov, Candidate of Engineering, Associate Professor at the Department of Roads and Airfields
Tyumen
E. E. Leverents
Industrial University of Tyumen
Russian Federation
Russian Federation
Evgeny E. Leverents, Senior Lecturer аt the Department of Structural Mechanics
Tyumen
References
1. Koryagin, M. E., & Berezina, A. S. (2018). Simulation of the route network of the rectangular city with Taxicab geometry. Nauchnye problemy transporta Sibiri i Dal'nego Vostoka, (2), pp. 21-25. (In Russian).
2. Vuchic, V. R. (1999). Transportation for livable cities. London, Publ. Routledge, 378 p. (In English).
3. Andronov, R. V., Leverents, E. Eh., & Morozov, V. V. (2017). Application of adaptive traffic regulation system at the city street intersections in comparison with the junction arrangement on different levels. Vestnik Grazhdanskikh Inzhenerov (Bulletin of Civil Engineers), 4(63), pp. 194-200. (In Russian). DOI: 10.23968/1999-5571-2017-14-4-194-200
4. Yakimov, M. R., & Arep'eva, A. A. (2016). Transportnoe planirovanie. Osobennosti modelirovaniya transportnykh potokov v krupnykh gorodakh. Мoscow, Logos Publ., 280 p. (In Russian).
5. Zakharov, D. A., Drogaleva, E. V., & Marilov, V. S. (2017). Osobennosti razvitiya dorozhnoy infrastruktury v gorode Tyumeni. Stroitel'nyy vestnik, 2(80), pp. 56-61. (In Russian).
6. Alferova, I. D., Almetova, Z. V., Gorodokin, V. A., & Shepelev, V. D. (2019). The pedestrian phase durational calculation in main tact of the traffic light object cycle. Transport. Transport facilities. Ecology, (1), pp. 5-11. (In Russian). DOI: 10.15593/24111678/2019.01.01
7. Andronov, R. V., & Leverents, E. Eh. (2017). Calculation of vehicles` delay at an isolated regulated intersection characterized with a high value of traffic load coefficient using the Monte Carlo technique. Vestnik Grazhdanskikh Inzhenerov (Bulletin of Civil Engineers), 1 (60), pp. 221-226. (In Russian).
8. Drozdov, G. D., Popov, V. A., & Ivanov, V. A. (2014). Razvitie transportnoy infrastruktury v gorodskoy aglomeratsii. St. Petersburg, Saint Petersburg State University of Economics Publ., 121 p. (In Russian).
9. Yakimov, M. R., & Popov, Yu. (2014). Transport planning. Practical recommendations for creating transport models of cities in the software package PTV Vision® VISUM. Мoscow, Logos Publ., 200 p. (In Russian).
10. Zyryanov, V. V., Feofilova, A. A., & Chuklinov, N. N. (2017). Dynamic routing of transport flows as a method of reducing the transport load for macro elements. World of transport and technological machines, 1(60), pp. 74-80. (In Russian).
Review
For citations:
Andronov R.V., Leverents E.E. The use of statistical modeling to assess the effectiveness of the application of adaptive control and reconstruction of the road network intersections. Architecture, Construction, Transport. 2021;(3):40-49. (In Russ.) https://doi.org/10.31660/2782-232X-2021-3-40-49
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