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Home / Conferences / TRANSPORT PROCESSES: STATUS, PROBLEMS, AND PERSPECTIVES / TRANSPORT PROCESSES: STATUS, PROBLEMS, AND PERSPECTIVES : Materials of the All-Russian Scientific and Practical Conference, Voronezh, January 21, 2026
ANALYSIS OF METHODS FOR INCREASING THE CAPACITY OF THE ROAD NETWORK IN THE CONTEXT OF INCREASING TRAFFIC INTENSITY IN MODERN CITIES
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ANALYSIS OF METHODS FOR INCREASING THE CAPACITY OF THE ROAD NETWORK IN THE CONTEXT OF INCREASING TRAFFIC INTENSITY IN MODERN CITIES
N. Zelikova 1
A. E. Busarina 2
R. Korablev 3
E. Busarin 4
S. Vnukova 5
Elena Maklakova 6
Authors:
1.  Voronezh State University of Forestry and Technologies named after G.F. Morozov
Voronezh, Voronezh, Russian Federation
2.  Voronezh State University of Forestry and Technologies named after G.F. Morozov
3.  Voronezh State University of Forestry and Technologies named after G.F. Morozov
Russian Federation
4.  Voronezh State University of Forestry and Technologies named after G.F. Morozov
Russian Federation
5.  Voronezh State University of Forestry and Technologies named after G.F. Morozov
Voronezh, Voronezh, Russian Federation
6.  Voronezh State University of Forestry and Technologies named after G.F. Morozov
Russian Federation
Type:
Сonference article
DOI:
https://doi.org/10.58168/TPSPP2026_38-44
Pages:
from 38 to 44
Published:
20.04.2026
Subject area:
UDC 656.021
Language:
Russian
Keywords:
capacity, street and road network, traffic intensity, adaptive control, mathematical modeling, public transport, intelligent transport systems
Abstract and keywords
Abstract:
This article provides a systematic analysis of methods for increasing road network capacity in the face of steadily increasing traffic volumes in modern cities. Three key groups of methods are considered: adaptive traffic light control, mathematical modeling of traffic flows, and infrastructure planning solutions with public transport prioritization. A comparison of domestic and international sources reveals quantitative estimates of the effectiveness of each approach, as well as discrepancies in the data from various researchers. Conclusions are drawn regarding the need for a comprehensive application of these methods and promising areas for further research in the field of increasing road network capacity.

Keywords:
capacity, street and road network, traffic intensity, adaptive control, mathematical modeling, public transport, intelligent transport systems
References

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2. Tkacheva, T. M. Iskusstvennyy intellekt i dorozhnyy trafik / T. M. Tkacheva, K. S. Ostapenko // Avtomobil'. Doroga. Infrastruktura. – 2025. – № 2 (44). – URL: https://www.adi-madi.ru/madi/article/view/1493/pdf_857.

3. Modelirovanie i vizualizaciya sistemy svetofornogo regulirovaniya na perekrestke / R. A. Korablev, V. P. Belokurov, E. N. Busarin, V. V. Stasyuk, O. S. Gasilova, A. R. Korablev // Innovacii i peredovye tehnologii v razvitii transportnyh sistem : materialy Vserossiyskoy nauchno-prakticheskoy konferencii. – Voronezh, 2025. – S. 54-65. DOI: https://doi.org/10.58168/IATDTS2025_54-65; EDN: https://elibrary.ru/XNEXPE

4. Volchenko, S. V. Povyshenie propusknoy sposobnosti UDS na osnove ocenki vzaimodeystviya transportnyh potokov s gorodskimi magistralyami : 05.23.11 : dis. ... kand. tehn. nauk / Volchenko Svetlana Viktorovna. – Volgograd, 2014. – 179 s. EDN: https://elibrary.ru/QMSEAD

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