«Vestnik Moskovskogo avtomobilno-dorozhnogo gosudarstvennogo tehnicheskogo universiteta (MADI)» | Number 1(84), March 2026

Abstract

Taking into account the increasing traffic intensity and the enlarging number of car tourists, the creation of comfortable, safe and visually appealing roadside service areas is becoming an important factor in ensuring of road safety and improving the quality of service on highways. Despite the development of the infrastructure, the issues of visual and technical attractiveness of such facilities have not been still sufficiently studied. In modern conditions, it is an integrated approach to assessing the attractiveness of service facilities, including visual, infrastructural and psychological aspects, that is of particular importance. The purpose of the work described in the article: to identify key criteria for assessing the attractiveness of roadside service facilities that influence the choice of drivers, as well as to develop recommendations to increase interest in the services of these facilities. The study analyzes international experience and Russian practice in the development of roadside services, identifies the main categories of users and their needs. An expert analysis was carried out and sixteen characteristics of the environment that form the first impression of the service were identified. It is established that the capacity of parking spaces, landscaping, clear information signs, illumination and recognizable brand have the greatest impact on the perception of the object. A comparison of two multifunctional zones on the M-7 Volga highway was carried out, which confirmed the correlation between the visual attractiveness and the intensity of use of the service. The attractiveness of roadside service facilities is determined by a combination of visual, infrastructural and psychological factors, among which comfort, safety, aesthetics and informativeness are key. The implementation of recommendations to improve these components will allow increasing the interest of drivers in the roadside service, increasing its demand and, ultimately, increasing the level of road safety.

Keywords: roadside service, attractiveness, visual factor, quality components, environmental characteristics, parking areas, lighting, architectural solutions

References

1. Trofimenko Yu.V., Komkov V.I., Grigorieva T.Y. Izvestiya Samarskogo nauchnogo tsentra Rossiyskoy akademii nauk, 2012, vol. 14, no. 1-3, pp. 918-922.
2. Fletcher A., McCulloch K., Baulk S.D., Dawson D. Countermeasures to driver fatigue: a review of public awareness campaigns and legal approaches, Australian and New Zealand Journal of Public Health, 2005, vol. 29, no. 5, pp. 471-476, doi 10.1111/j.1467-842x.2005.tb00229.x.
3. Semchugova E.Y., Chernova A.N., Kozhanova V.A., Timofeev D.A. Vestnik yevraziyskoy nauki, 2018, vol. 10, no. 1, pp. 30.
4. Danilina N.V., Krotova I.E. Izvestiya vuzov. Investitsii. Stroitel'stvo. Nedvizhimost', 2016, no. 3(18), pp. 136-143.
5. Gaile A.O., Ivanov A.V. Tekhniko-tekhnologicheskiye problemy servisa, 2018, no. 1(43), pp. 34-40.
6. Sobyanina S.V. Innovatsionnaya nauka, 2015, vol. 1, no. 1-2, pp. 155-157.
7. Lizunov A.V. Problemy i perspektivy razvitiya avtomobil'nogo transporta, Materialy konferentsii, Kurgan, Kurganskiy gosudarstvennyy universitet, 2013, pp. 341-347.
8. Mikryukov K.S. New science solutions, Sbornik statey, Petrozavodsk, Mezhdunarodnyy tsentr nauchnogo partnerstva «Novaya Nauka» (IP Ivanovskaya Irina Igorevna), 2020, pp. 32-47.
9. Bertulienie L., Juknevichute-Zilinskienie L. Roadside Infrastructure and Rest Areas Concepts in Lithuania, The 9th International Conference «Environmental engineering», Vilnius, Lithuania, 2014, pp. 2-7.
10. Rybkin E.V. Ekonomicheskoye vozrozhdeniye Rossii, 2011, no. 2(28), pp. 85-90.
11. Rybalochko E.Yu., Yatsenko A.A. Mezhdunarodnyy zhurnal prikladnykh i fundamental'nykh issledovaniy, 2016, no. 7-4, pp. 702-705.
12. Kutdusov R.F., Gatiyatullin M.H. Avtomobil'nyye dorogi i transportnaya infrastruktura, 2024, no. 1(5), pp. 124-133.
13. Kostsov A.V., Tanatova A.M. Izvestiya Kazanskogo gosudarstvennogo arkhitekturno-stroitel'nogo universiteta, 2024, no. 3(69), pp. 58-67, doi 10.48612/NewsKSUAE/69.6.
14. Duan J., Duan Y., Chen F. Research on Location Model and Scale Parameters of Multi-functional Expressway Service Area, IOP Conference Series: Earth and Environmental Science, IOP Publishing, 2019, vol. 304, no. 3, p. 032091, doi 10.1088/1755-1315/304/3/032091.
15. Bunn T.L., Slavova S., Rock P.J. Association between commercial vehicle driver at-fault crashes involving sleepiness/fatigue and proximity to rest areas and truck stops, Accident Analysis & Prevention, 2019, vol. 126, pp. 3-9, doi 10.1016/j.aap.2017.11.022.
16. Kotkova A.V., Aidarova G.N., Suleymanov A.M. Izvestiya Kazanskogo gosudarstvennogo arkhitekturno-stroitel'nogo universiteta, 2023, no. 3(65), pp. 185-199, doi 10.52409/20731523_2023_3_185.
17. Shavalieva N.M., Rodionova E.E. Arkhitektura. Restavratsiya. Dizayn. Urbanistika, 2024, no. 2(4), pp. 51-60.

Abstract

Over the last decade, the study of track formation in non-rigid road surfaces has focused on an approach based on continuum mechanics equations and fundamental theories of viscoelasticity and viscoplasticity. From the point of view of foreign researchers, the Pavement analysis, using the nonlinear damage approach (PANDA), is the most comprehensive and theoretically sound solution. Despite the significant capabilities of the PANDA method, it is still at the stage of preliminary research. The practical application of this method is currently very limited. Its significant drawback is the complexity that requires careful testing and calibration of a large number of modeling variables. Therefore, the numerical study of rutting in asphalt concrete road surfaces is currently performed using the finite element method. In this case the Norton-Bailey model, which is a power-law or energy, is used to model the creep of asphalt concrete. This model requires experimental determination of creep parameters. The aim of the work described in the article is to show how, using experimental data, to determine the creep parameters of asphalt concrete using experimental data and the finite element complex Marc©. An example of calculating an asphalt concrete structure is given, confirming the possibility of this approach for determining residual deformations in this structure.

Keywords: creep, energy-based creep model, asphalt concrete, rutting, finite element method

References

1. Dem'yanushko I.V., Stain V.M, Stain A.V. Proyektirovaniye avtomobil'nykh dorog, Sbornik dokladov, Moscow, Obshchestvo s ogranichennoy otvetstvennost'yu «A-prodzhekt», 2021, pp. 93-101.
2. Grigor'yev L.B. Avtomobil'nyye dorogi, 2023, no. 7(1100), pp. 54-57.
3. Dem'yanushko I.V., Stain V.M., Stain A.V., Simchuk A.Ye. Dorogi i mosty, 2024, no. 1(51), pp. 70-90.
4. Dem'yanushko I.V., Stain V.M., Stain A.V., Simchuk A.Ye. Vestnik Moskovskogo avtomobil'no-dorozhnogo gosudarstvennogo tekhnicheskogo universiteta (MADI), 2023, no. 3(74), pp. 12-19.
5. Majidi Shad M.M., Khabiri M. M., Arabani M., Bahmani H. 3D Finite Element Model for Recycled Asphalt Mixtures with High Percentages of Reclaimed Asphalt Pavement Rutting Simulation, International Journal of Engineering, Transactions A: Basics, 2022, vol. 35, no. 7, pp. 1428-1439, doi 10.5829/ije.2022.35.07a.20.
6. Saad D.A., Al-Baghdadi H. A. A Viscoplastic Modeling for Permanent Deformation Prediction of Rubberized and Conventional Mix Asphalt, IOP Conference Series: Earth and Environmental Science, 2021, vol. 856, no. 1, pp. 012034, doi 10.1088/1755-1315/856/1/012034.
7. Albayati N., Qader-Ismael M. Rutting performance of asphalt mixtures containing treated RCA and reinforced by carbon fibers, Aibi revista de investigación, administración e ingeniería, 2024, vol. 12, no. 1, pp. 18-28, doi 10.15649/2346030x.3436.
8. Shishkin Ye.A. Nauchno-tekhnicheskiy vestnik Bryanskogo gosudarstvennogo universiteta, 2024, no. 2, pp. 133-139, doi 10.22281/2413-9920-2024-10-02-133-139.
9. Levkovich T.I., Blagoder T.P., Polozuko S.O. Nauchnyy al'manakh, 2019, no. 2-2(52), pp. 38-41, doi 10.17117/na.2019.02.02.038.
10. May D. L., Gordon A.P., Segletes D.S. The application of the Norton-Bailey law for creep prediction through power law regression, Turbo Expo: Power for Land, Sea, and Air, American Society of Mechanical Engineers, 2013, vol. 55263, p. V07AT26A005, doi 10.1115/GT2013-96008.
11. Li Pu., Fu J., Sun L., Yue J., Zang Q. Analysis of Rutting Formation Mechanisms and Influencing Factors in Asphalt Pavements Under Slow-Moving Heavy Loads, Materials, 2025, vol. 18, no. 17, p. 4153, doi 10.3390/ma18174153.
12. Iskakbayev A., Teltayev B., Rossi C.O., Yensebayeva G. Experimental investigation of an asphalt concrete deformation under cyclic loading, News of the National Academy of Sciences of the Republic of Kazakhstan. Series of geology and technical sciences, 2018, vol. 2, no. 428, pp. 104-111.
13. Teltayev B., Radovskiy B. Predicting thermal cracking of asphalt pavements from bitumen and mix properties, Road Materials and Pavement Design, 2018, vol. 19, no. 8, pp. 1832-1847, doi 10.1080/14680629.2017.1350598.

Abstract

The article describes a method for determining the steering performance of a GT4 class racing car and its implementation in a log files reading and analysis system. Examples of applying the described method to analyze the influence of racing tires from different manufacturers with identical geometric parameters within the same class on vehicle behavior on track are provided. The effectiveness of the proposed method was confirmed by experimental results obtained during consecutive test sessions conducted on a racetrack in Russia. The Porsche 718 Cayman GT4 Clubsport RS was chosen as the test vehicle. The investigated tires were slick racing tires with similar sizes from the following manufacturers: Pirelli, Michelin and Yokohama, offered to GT4 class participants. The driver was a professional racing pilot holding the title of Candidate for Master of Sports in motorsport. The test sessions were conducted on the Moscow Raceway circuit in the GP9 configuration under dry conditions. The purpose of this article is to describe and demonstrate the principles and methods of analyzing the steering performance of a racing car, as well as the impact of tires on vehicle steering performance with the aim of reducing lap time and monitoring the degradation of the vehicle’s steering characteristics over time.

Keywords: racing car, steering performance, vehicle handling, racing tires, log file analysis, data analysis, onboard data acquisition system, tire degradation, vehicle dynamics, motorsport, GT4 class, Porsche 718 Cayman GT4 Clubsport RS

References

1. Seward D. Race Car Design, London, Bloomsbury Publishing, 2017, 288 p., ISBN 1137030151.
2. Segers J. Analysis Techniques for Racecar Data Acquisition, Warrendale, PA, SAE International, 2014, 518 p., ISBN 0768064597.
3. Veneri M., Massaro M. The effect of Ackermann steering on the performance of race cars, Vehicle System Dynamics, 2021, vol. 59, no. 6, pp. 907-927, doi 10.1080/00423114.2020.1730917.
4. Cha H., Kim Ja., Yi K., Park Ja. Investigation into high-performance tire characteristics at the limits of handling, Vehicle System Dynamics, 2024, vol. 62, no. 2, pp. 428-447, doi 10.1080/00423114.2023.2176326.
5. Guan Y., Zhou H., He Z., Miao W., Yu Z. A new formulation of the understeer gradient and stability margin to analyse vehicle steady-state cornering behavior, Vehicle System Dynamics, 2025, vol. 63, no. 3, pp. 610-629, doi 10.1080/00423114.2024.2351030.
6. Aratri R., Guastadisegni G., De Pinto S., Doria-Cerezo A., Sorniotti A., Bottiglione F., Mantriota G. Feasibility region analysis of active systems: investigating the lateral performance envelope of sports cars, Vehicle System Dynamics, 2025, vol. 63, no. 9, pp. 1676-1697, doi 10.1080/00423114.2024.2379546.
7. Botes W., Botha T. R., Els P. Sch. Real-time lateral stability and steering characteristic control using non-linear model predictive control, Vehicle System Dynamics, 2023, vol. 61, no. 4, pp. 1063-1085, doi 10.1080/00423114.2022.2057334.
8. Remonda A., Veas E., Luzhnica G. Comparing driving behavior of humans and autonomous driving in a professional racing simulator, PLoS ONE, 2021, vol. 16, no. 2, p. e0245320, doi 10.1371/journal.pone.0245320.
9. Zhang S., Zhao Ch., Zhang Zh., Lv Ye. Driving simulator validation studies: A systematic review, Simulation Modelling Practice and Theory, 2025, vol. 138, p. 103020, doi 10.1016/j.simpat.2024.103020.
10. Limebeer D. J. N., Massaro M., Dollar A. Asymmetric vehicle performance assessment using GG diagrams, Vehicle System Dynamics, 2025, vol. 63, no. 9, pp. 1649-1675, doi 10.1080/00423114.2025.2471344.

Abstract

This article examines the influence of the vehicle body's loading torque during static assessment of its torsional rigidity, the nonlinearity and phasing nature of this indicator, and provides recommendations for load selection. Depending on the applied load, three zones are distinguished on the stiffness change diagram: nonlinear, transient and stabilization. Tests were conducted on two bodies built on the same platform but with significantly different wheelbases and initial conditions: immediately after assembly and after endurance testing as a part of the vehicle. For each load moment for one of the bodies, a torsional deformation diagram is presented. Quantitative data is excluded due to confidentiality, but in this case it is not required to understand the results. A comparison is provided of the torsional torque sufficient for assessing vehicle rigidity (the indicator becomes constant and independent of the load), and the generally accepted approach for selecting the loading level. The practical significance of this study lies in the fact that the reduction of the moment, required for assessing the static torsional rigidity of the car body, leads to significant savings in material resources, especially in bench equipment and measuring instruments, the requirements for which can be reasonably reduced with this approach.

Keywords: static torsional rigidity of the body, testing of the passenger car body, bench tests of the body, the moment of twisting of the body

References

1. Birch Stuart. Driving good dynamics, Mobility Engineering, 2014, vol. 1, no. 4, pp. 48-52.
2. Sergeev A.V. Vliyanie zhestkosti karkasa kuzova na upravlyaemost` legkovogo avtomobilya (The influence of body frame rigidity on the handling of a passenger car), abstract of a Candidate’s thesis, Tolyatti, Togliatti Polytechnic Institute, 2000, 27 p.
3. Mirzoev G.K., Lata V.N., Ermolin A.V., Sergeev A.V. Avtomobil'naya promyshlennost', 2001, no. 4, pp. 23-24.
4. Bykov P.M., Yegorenkova S.V. Sovremennyye instrumental'nyye sistemy, informatsionnyye tekhnologii i innovatsii, Sbornik trudov, Kursk, Zakrytoye aktsionernoye obshchestvo «Universitetskaya kniga», 2015, vol. 1, pp. 237-242.
5. Achkasov V.V. Avtomobil'naya promyshlennost', 2025, no. 6, pp. 20-25.
6. Komarov Yu. Ya., Ganzin S.V., Sil'chenkov D.D. Voronezhskiy nauchno-tekhnicheskiy vestnik, 2023, vol. 1, no. 1(43), pp. 61-70, doi 10.34220/2311-8873-2023-61-70.
7. Brooke L., Gehm R., Visnic B. Lightweighting: what's next? : experts weigh in on the challenges and future enablers in the battle to reduce vehicle mass, Automotive Engineering Magazine, 2016, vol. 3, no. 8.
8. Achkasov V.V. Avtomobil'naya promyshlennost', 2025, no. 7, pp. 25-28.
9. Bryuxov A.P., Golovin D.V., Kozyrin N.S. Transport. Transportnyye sooruzheniya. Ekologiya, 2015, no. 3, pp. 5‑19.
10. Meshcheryakov D.Ye. Avtomobil'naya promyshlennost', 2025, no. 11, pp. 27-34, doi 10.36652/0005-2337/2025-11-27-34.
11. Baybakov A.I., Voronin S.S. Avtomobil'naya promyshlennost', 1984, no. 1, pp. 39.
12. Timofeyev G.S. Prioritetnyye napravleniya innovatsionnoy deyatel'nosti v promyshlennosti, Sbornik statey, Kazan', Obshchestvo s ogranichennoy otvetstvennost'yu «KONVERT», 2020, part 1, pp. 204-206.
13. Meshcheryakov D.E., Eidelman A.L., Kuleshov R.M., Kuzmin A.O., Zhitelev D.A. Avtomobil'naya promyshlennost', 2025, no. 9, pp. 19-26.
14. Chaykin I.D., Eydel'man A. L. Transportnoye delo Rossii, 2023, no. 2, pp. 205-209, doi 10.52375/20728689_2023_2_205.
15. Pakhomova A.G., Skvortsov P.A. Novyye tekhnologii. Nauka, tekhnika, pedagogika = New Technologies. Science, Engineering, Pedagogics, Materialy konferentsii, Moscow, Moskovskiy Politekh, 2024, pp. 551-558.
16. Shojaeefard M.H., Khalkhali B., Sarmadi M., Hamzehi D. Investigation on the optimal simplified model of BIW structure using FEM, Latin American Journal of Solids and Structures, 2015, no. 12, pp. 1972-1990.
17. Van I., Zuzov V.N., Ivanenkov V.V. Inzhenernyy zhurnal: nauka i innovatsii, 2024, no. 5(149), doi 10.18698/2308-6033-2024-5-2356.
18. Van Ch., Zuzov V.N., Solopov D.Yu. Trudy NGTU im. R.Ye. Alekseyeva, 2024, no. 1(144), pp. 70-82.
19. Levenkov Ya.Yu., Chichekin I.V., Vdovin D.S., Dushkin M.A., Byakov K.E. Trudy NAMI, 2025, no. 1(300), pp. 17-30.
20. Peskov V.I., Voronkov O.V. Trudy NGTU im. R.Ye. Alekseyeva, 2013, no. 4(101), pp. 91-97.
21. Kami Buchholz. 2020 Hyundai Palisade: New chassis, Atkinson V6, Automotive Engineering Magazine, 2019, no. 9, pp. 16-17.
22. Lindsay Brooke. Acura TLX Is Honda’s New Body-Build Benchmark, Automotive Engineering Magazine, 2021, vol. 8, no. 7, pp. 28-29.

Abstract

Improving the speed and effectiveness of emergency services’ response to road traffic accidents (RTA) is a critical task for reducing mortality and traffic injury rates. Despite existing regulatory requirements for response arrival times, the traditional process of collecting information and making decisions is characterized by significant time delays and subjectivity due to the human factor. This article presents the concept of an automated incident management system aimed at optimizing the interactions of emergency response services (Ambulance Medical Care, State Road Traffic Safety Inspectorate and Ministry of Emergency Situations). The concept is based on an analysis of alarming trends in the increasing number of serious RTAs involving car sharing and taxi services, as well as the critical dependence of fatality rates on the response time of assistance arrival. The system's core is a formalized process of sequential incident data processing: from the automatic classification of key RTA attributes (type, number of participants, presence of hazardous factors) to determining the required service composition and calculating the level of needed resources using a bank of typical scenarios and data from the victims' «trip profile». The research is based on an analysis of accident statistics, highlighting the stable share and high severity of RTA consequences involving corporate transport, as well as an assessment of regulatory requirements for emergency services’ work. Particular attention is paid to the technological foundations of the system – methods for automatic incident detection. A key limitation is the stage of manual incident verification, which can take up to 15 minutes. The proposed approach allows the management process to be transferred to a formal logical basis, minimizing information collection time and providing dispatch services with structured data for informed decision making. The implementation of the system involves its integration into the ecosystem of intelligent transport systems and contributes to the achievement of target indicators for reducing assistance response times and road mortality.

Keywords: automated incident management, emergency response time for an accident, intelligent transport systems, trip profile, road accident response, road incident detection subsystem

References

1. Dolgina M.E. Problemy nauchnoj mysli, 2025, vol. 1, no. 6, pp. 224-227.
2. Zhankaziev S.V., Korotkova Yu.A. Avtomobil'. Doroga. Infrastruktura, 2023, no. 2(36).
3. Bakanov K.S., Lyakhov P.V., Aysanov A.S., Nikulin E.D., Isaev M.M., Koblov P.S., Smirnov I.A., Tsaregorodtseva E.A., Gavrilenko A.A., Naumov S.B. Dorozhno-transportnaya avariynost' v Rossiyskoy Federatsii v 2024 godu (Road traffic accidents in the Russian Federation in 2024), Moscow, FKU «NC BDD MVD Rossii», 2025, 148 p., ISBN 978-5-6046954-5-6.
4. Belov M.Yu., Svistelnikov A.A., Pavlov N.V. Avtomobil'nye Dorogi, 2025, no. 12(1129), pp. 100-103.
5. Mayboroda O.V., Chebyshev A.E., Pavlov N.V. Avtomobil'nye Dorogi, 2023, no. 7(1100), pp. 74-79.
6. Muratov I.V. Avtomatizaciya. Sovremennye tekhnologii, 2025, vol. 79, no. 2, pp. 77-81, doi 10.36652/0869-4931-2025-79-2-77-81.
7. Bakanov K.S., Lyakhov P.V., Aysanov A.S., Nikulin E.D., Isaev M.M., Koblov P.S., Tsaregorodtseva E.A., Smirnov I.A., Naumov S.B. Dorozhno-transportnaya avariynost' v Rossiyskoy Federatsii v 2023 godu (Road traffic accidents in the Russian Federation in 2023), Moscow, FKU «NC BDD MVD Rossii», 2024, 154 p.
8. Bakanov K.S., Lyakhov P.V., Aysanov A.S., Isaev M.M., Nikulin E.D., Koblov P.S., Sergunova A.S., Selednikov N.V., Naumov S.B., Knyazev A.S. Dorozhno-transportnaya avariynost' v Rossiyskoy Federatsii za 2022 god (Road traffic accidents in the Russian Federation for 2022), Moscow, Nauchnyy tsentr bezopasnosti dorozhnogo dvizheniya MVD RF, 2023, 150 p., ISBN 978-5-6046952-7-2.
9. Lyapin S.A., Rizaeva Yu.N., Kadasev D.A., Kadaseva I.M. Mir transporta i tekhnologicheskih mashin, 2020, no. 3(70), pp. 52-63, doi 10.33979/2073-7432-2020-70-3-52-63.
10. Yakimov A.Yu., Kondrat'ev V.D., Smirnov E.A. Transport Rossijskoj Federacii, 2006, no. 7(7), pp. 54-56.
11. Makhanov S.A., Shegirbaeva K.B. Vestnik Kazahskogo nacional'nogo medicinskogo universiteta, 2020, no. 2-1, pp. 602-605.
12. Baranov A.V., Mordovskij E.A., Grzhibovskij A.M. Polittravma, 2020, no. 4, pp. 15-22.

Abstract

The article examines the approach to the organization of seamless technological processes in air transport as a key trend in the development of the air transport industry. Scientific approaches to the term «seamless transportation» and practical approaches to the organization of such processes in air transport systems are analyzed, as well as the technological and organizational mechanisms for the implementation of these processes. Particular attention is paid to the synergetic effect of the air transport system elements’ integrating, as well as the legal and economic aspects of creating a seamless transport environment. Using route planning models as an example, the practical advantages of seamlessness for passengers, airlines and airports are demonstrated. The interaction process between the air transport system operation participants and its bottlenecks, which have the potential to increase system synergy through the application of the principle of seamless processes, are identified. These include, in particular, delays in the transmission of departure data, disruptions in the transmission of baggage data, inconsistencies in schedules and resources and the fragmentation of passenger services. A software ecosystem model is proposed as a solution that reduces risks in airline and airport operational processes and generates savings by reducing unit costs when scaling the application of the proposed solutions. This could be a factor to contribute to the efficiency and autonomous development of regional air transport systems. The economic and operational benefits of using seamless processes in air transport for organizing passenger and cargo transportation are presented. The cases of application of this approach in air transport systems, their risks and benefits are analyzed, which make it possible to consider a seamless approach to the organization of transport processes as a factor of the development of technological processes of air transport systems.

Keywords: seamless transportation, air transport industry, civil aviation, organization of transportation, passenger transportation

References

1. Lapidus B.M., Lapidus L.V. Vestnik Moskovskogo universiteta. Seriya 6: Ekonomika, 2017, no. 2, pp. 45-64.
2. Stepanenko A.S., Bol't A.S., Bol't P.S. Vestnik universiteta, 2024, no. 9, pp. 122-133, doi 10.26425/1816-4277-2024-9-122-133.
3. Peskov M.V., Al'kayeva O.V. Sovremennyye problemy sovershenstvovaniya raboty zheleznodorozhnogo transporta, Sbornik trudov, Moscow, Federal'noye gosudarstvennoye avtonomnoye obrazovatel'noye uchrezhdeniye vysshego obrazovaniya «Rossiyskiy universitet transporta», 2022, pp. 58-64.
4. Bol't A.S., Bol't P.S., Vlasova A.V. Transport: nauka, tekhnika, upravleniye. Nauchnyy informatsionnyy sbornik, 2024, no. 11, pp. 3-11, doi 10.36535/0236-1914-2024-11-1.
5. Nekrasov A.G., Sinitsyna A.S. Rossiya: tendentsii i perspektivy razvitiya, Materialy konferentsii, Moscow, Institut nauchnoy informatsii po obshchestvennym naukam RAN, 2022, pp. 685-688.
6. Vorona A.A., Kolpakov D.A. Vestnik yevraziyskoy nauki, 2023, vol. 15, no. 2.
7. Kas'yanenko T.G. Rossiyskoye predprinimatel'stvo, 2017, vol. 18, no. 24, pp. 4035-4050, doi 10.18334/rp.18.24.38580.
8. Fal'ko V.I. Vestnik Moskovskogo gosudarstvennogo universiteta lesa – Lesnoy vestnik, 2013, no. 5, pp. 21-24.
9. Pisarenko V.N. Izvestiya Samarskogo nauchnogo tsentra Rossiyskoy akademii nauk, 2017, vol. 19, no. 6, pp. 65-70.
10. Safonova A.V. Nauka. Tekhnika. Chelovek: istoricheskiye, mirovozzrencheskiye i metodologicheskiye problem, 2024, vol. 1, no. 14, pp. 207-211.
11. Kopylov V.A., Yakusheva U.A. Integratsiya sistem upravleniya i logistiki na transporte, Materialy konferentsii, Moscow, Obshchestvo s ogranichennoy otvetstvennost'yu «Izdatel'stvo Prometey», 2024, pp. 46-50.
12. Stepanenko Ye.V., Rumyantseva M.A., Yudina A.I. Vestnik transporta Povolzh'ya, 2024, no. 1(103), pp. 60-68.
13. Stepanenko Ye.V., Sheverdin M.A., Nizametdinov R.R. Nauchnyy vestnik GosNII GA, 2020, no. 33, pp. 69-77.
14. Sushko O.P. Mir transporta, 2022, vol. 20, no. 6(103), pp. 64-71, doi 10.30932/1992-3252-2022-20-6-7.
15. Ivanova Yu.N. Ekonomika i upravleniye: nauchno-prakticheskiy zhurnal, 2012, no. 4(108), pp. 36-41.

Abstract

The article examines the factors that determine Moscow residents' choice of travel routes. It proposes the use of a multinomial logit model (MNL) for data analysis and identification of key criteria affecting this choice. Among the most important factors identified are travel time, cost, comfort, pedestrian accessibility, reliability, and technological capabilities of transport vehicles. Applying the MNL will allow to create a tool for objectively and quantitatively assessing the influence of these factors on passenger preferences, which is essential for improving the quality of transport services and optimizing the route network. This study forms a basis for future research aimed at developing methods to enhance the efficiency of urban transport and improve mobility conditions for citizens. The conducted research has demonstrated the need to consider a wide range of aspects in formulating transport solutions, including economic, social and psychological components, as well as specifics of modern technological features. The results obtained open up prospects for more accurate calculation of passenger needs and development of targeted measures to increase the attractiveness of various modes of transport, especially in the complex multimodal structure of the Moscow transport system.

Keywords: ground urban passenger transport, transport, bus transport, metro, route choice

References

1. Dyachkova O.M., Ryzhova A.S., Dyachkova A.A., Bezmaternykh K.L. Vestnik Akademii Znanii, 2021, no. 46(5), pp. 127-132, doi 10.24412/2304-6139-2021-5-127-132.
2. Azemsha S.A., Morozov V.M. Vestnik Sibirskogo gosudarstvennogo avtomobil'no-dorozhnogo universiteta, 2022, vol. 19, no. 3(85), pp. 344-357, doi 10.26518/2071-7296-2022-19-3-344-357.
3. Artyukhina N.P., Bafanov A.P., Glotova I.V., Kostrov V.N. Ekonomika, Predprinimatelstvo i Pravo, 2024, vol. 14, no. 6, pp. 3101-3116, doi 10.18334/epp.14.6.121076.
4. Deneke Ye., Desta R., Afework A., Tóth J. Transportation Mode Choice Behavior with Multinomial Logit Model: Work and School Trips, Transactions on Transport Sciences, 2024, vol. 15, no. 1, pp. 17-27, doi 10.5507/tots.2023.019.
5. Akshani U.H.D., Wijesundara W.M.L.P., Dharmarathna W.R.S.S. Model Sensitivity and Stability of MNL Approach for Sri Lankan Travelers’ Mode Choice Decisions, 10th International Symposium on Advances in Civil and Environmental Engineering Practices for Sustainable Development (ACEPS 2024), Proceedings of the symposium, Galle, University of Ruhuna, 2024, p. 61.
6. Li L., Jiang H. The research of the development transportation countermeasures on the medium and small urban based on MNL model, 2011 IEEE 2nd International Conference on Computing, Control and Industrial Engineering, Proceedings of Conference, Wuhan, IEEE, 2011, pp. 317-320, doi 10.1109/CCIENG.2011.6008022.
7. Ocherenko S.V., Zabolotnaya V.E. Vestnik Khar'kovskogo natsional'nogo avtomobil'no-dorozhnogo universiteta, 2009, no. 47, pp. 131-134.
8. Dyachkova O.M., Ryzhova A.S., Dyachkova A.A., Bezmaternykh K.L. Vestnik Akademii Znanii, 2021, no. 46(5), pp. 127–132, doi 10.24412/2304-6139-2021-5-127-132.
9. Balamirzoev A.G., Alieva Kh.R., Balamirzoeva E.R. Fundamentalnye Issledovaniya, 2013, no. 4-2, pp. 267–271.
10. Zagurskaya S.G., Druzhinin V.P. Biznes i dizajn revyu, 2016, no. 4(4), p. 3.

Abstract

This article examines the application of a tact-based timetable on a common segment of public passenger transport routes as one of the effective methods for eliminating uncoordinated operation of the route network. The relevance of the topic is due to the fact that in conditions of a dense route network and high traffic intensity, the lack of coordination between routes leads to a reduction in the quality of passenger transport services and deterioration in road traffic safety. The study presents a simplified scheme of public transport routes having a common segment. Based on this scheme, a detailed algorithm for creating a timetable using the principles of a tact-based schedule is described, taking into account intervals in traffic movement and interactions between routes on the common segment. Particular attention is paid to the issues of uniform distribution of rolling stock over time, which helps to minimize vehicle accumulation and reduce the likelihood of conflict situations. It is noted that uncoordinated route operation negatively affects the quality of passenger transportation, leading to increased waiting times at stops, uneven occupancy of public transport cabins and reduced travel comfort. Furthermore, such uncoordinated traffic management contributes to violations of Russian traffic regulations by rolling stock drivers when maneuvering at stops, which increases accident rate and accelerates vehicle wear. The article also addresses issues of training and professional qualification of rolling stock drivers. It is emphasized that the level of driver professionalism is one of the fundamental factors determining the quality and reliability of public passenger transport operation, especially in the context of implementation of tact-based timetable and increased requirements for schedule adherence.

Keywords: timetable, public transport, traffic interval, passenger flow, waiting time, regular transportation

References

1. Rakhmatullina A.R. Vestnik universiteta, 2014, no. 8, pp. 154-157.
2. Gorbachev A.M. Avtomatika na transporte, 2020, vol. 6, no. 4, pp. 499-517, doi 10.20295/2412-9186-2020-6-4-499-517.
3. Gorbachev A. Review on optimization models and methods for shuttle urban and main transport timetables and traffic schedules, Avtomatika na transporte, 2022, vol. 8, no. 3, pp. 287-295, doi 10.20295/2412-9186-2022-8-03-287-295.
4. Azemsha S.A., Kravchenya I.N. Vestnik Sibirskogo gosudarstvennogo avtomobil'no-dorozhnogo universiteta, 2021, vol. 18, no. 1(77), pp. 72-85, doi 10.26518/2071-7296-2021-18-1-72-85.
5. Liu T., Ji W., Gkiotsalitis K., Cats O. Optimizing public transport transfers by integrating timetable coordination and vehicle scheduling, Computers & Industrial Engineering, 2023, vol. 184, p. 109577, doi 10.1016/j.cie.2023.109577.
6. Huang K., Wu J., Sun H., Yang X., Gao Z., Feng X. Timetable synchronization optimization in a subway-bus network, Physica A: Statistical Mechanics and its Applications, 2022, vol. 608, p. 128273, doi 10.1016/j.physa.2022.128273.
7. Cheng G., He Y. Enhancing passenger comfort and operator efficiency through multi-objective bus timetable optimization, Electronic Research Archive, 2024, vol. 32, no. 1, pp. 565-583, doi 10.3934/era.2024028.
8. Corrado A., Barba S., Carozzo I., Nardi S. Smart Passenger Center: Real-Time Optimization of Urban Public Transport, The International FLAIRS Conference Proceedings, 2023, vol. 36, doi 10.32473/flairs.36.133300.
9. Zhang R., Yin S., Ye M., Yang Z., He S. A Timetable Optimization Model for Urban Rail Transit with Express/Local Mode, Journal of Advanced Transportation, 2021, vol. 2021, p. 5589185, doi 10.1155/2021/5589185.
10. Mousavi S.S., Pooya A., Roozkhosh P., Pakdaman M. A new bi-objective simultaneous model for timetabling and scheduling public bus transportation, Opsearch, 2024, vol. 62, pp. 198-229, doi 10.1007/s12597-024-00807-8.
11. Bharadwaj R.J., Shinde S., Oswal S. Dynamic Timetable and Route Optimized Public Transport System, 2022 Algorithms, Computing and Mathematics Conference (ACM), IEEE, 2022, pp. 100–107, doi 10.1109/ACM57404.2022.00027.
12. Stankevich D.V. Transportnoye pravo i bezopasnost', 2024, no. 2(50), pp. 37-42.

Abstract

This article analyzes the key aspects of the operation of motor vehicles equipped with special light and sound signals. Particular attention is paid to the regulatory legal acts establishing the requirements for the operation of such vehicles and the procedure for using of special signals, as well as the list of emergency and special services entitled to use them. The authors also examine the issues of training drivers, operating such vehicles, including the need to comply with traffic rules to ensure road safety. Based on a survey involving 217 respondents, the authors formulated recommendations for the actions of drivers of civilian cars and drivers of vehicles equipped with special sound and light signals in order to resolve problematic issues, and also formulated proposals to supplement the main regulatory legal acts establishing liability for violation of the procedure for using special light and sound signals by drivers of vehicles, equipped with such signals. The article focuses on the importance of complying with the law and the correct use of special signals to prevent accident situations and improve the efficiency of emergency services.

Keywords: road traffic accident, color schemes, traffic rules, special light and sound signals

References

1. Baranov A.A. Vestnik Moskovskogo universiteta MVD Rossii, 2022, no. 4, pp. 26-30, doi 10.24412/2073-0454-2022-4-26-30.
2. Dobrov A.N., Baranova S.A., Fidel` P.M. Administrativnaya otvetstvennost' za narusheniye pravil dorozhnogo dvizheniya (Administrative liability for violation of traffic rules), Irkutsk, Vostochno-Sibirskij institut MVD Rossii, 2023, 48 p.
3. Rumyancev N.V. Kriminologicheskij zhurnal, 2023, no. 2, pp. 133-138, doi 10.24412/2687-0185-2023-2-133-138.
4. Opar I.P. Vedomosti ugolovno-ispolnitel'noj sistemy, 2020, no. 7(218), pp. 44-47.
5. Baklanova K.V. Intellekt. Innovacii. Investicii, 2023, no. 2, pp. 99-110, doi 10.25198/2077-7175-2023-2-99.
6. Pospelov P.I., Yashina M.V., Tatashev A.G., Le D.L. T-Comm: Telekommunikacii i transport, 2022, vol. 16, no. 11, pp. 35-42, doi 10.36724/2072-8735-2022-16-11-35-42.
7. Yashina M.V., Tatashev A.G. STIN, 2021, no. 3, pp. 13-16.
8. Krasnenkova E.V., Gladkih A.Yu. Administrativnoe i municipal'noe pravo, 2014, no. 5(77), pp. 447-454.
9. Vasyukov V.F. Bezopasnost' dorozhnogo dvizheniya, 2023, no. 1, pp. 57-61.
10. Mel`nikov S.E., Anoprieva G.S., Mel`nikova T.E., Parshina D.I. Avtotransportnoe predpriyatie, 2016, no. 1, pp. 14-16.
11. Mel`nikova T.E., Mel`nikov S.E., Suxanova E.V. Mir transporta i texnologicheskix mashin, 2024, no. 2-1(85), pp. 9-15, doi 10.33979/2073-7432-2024-2-1(85)-9-15.

Abstract

The article discusses the options for organizing the movement of urban passenger transport, as well as technologies for ensuring its priority passage at regulated intersections. One of the ways to solve this task is the dynamic management of dedicated lanes, which makes it possible to integrate traffic light priority parameters with effective means of separating the carriageway. Traffic management schemes are considered taking into account three different categories of preliminary traffic lights, each with different performance characteristics. A comparative analysis of five variants of traffic management schemes for route vehicles is presented, which was carried out using the method of simulation micromodeling with the further construction of a regression mathematical model of the objective function parameter – the speed of communication of route vehicles depending on the traffic load factor of passenger cars (zc) and trucks (zt). Analysis of the results of calculations and research has shown that the most effective way to organize traffic at the zc traffic load level from 0.25 to 1.0 is option No. 5, which is the dynamic management of dedicated lanes using a preliminary traffic light and a dedicated lane before the main traffic light.

Keywords: urban passenger transport, reserved lane, dedicated lane, priority traffic, regulated intersection, traffic light priority, dynamic control, simulation

References

1. Andreyev Ye. O., Zhankaziyev S.V., Zyryanov V.V., Pavlov A.S. T-Comm: Telekommunikatsii i transport, 2024, vol. 18, no. 1, pp. 38-43, doi 10.36724/2072-8735-2024-18-1-38-43.
2. Agureyev I.Ye., Akhromeshin A.V. Intellekt. Innovatsii. Investitsii, 2021, no. 2, pp. 60-70, doi 10.25198/2077-7175-2021-2-60.
3. Bulatova O. Yu. Mir transporta i tekhnologicheskikh mashin, 2022, no. 1(76), pp. 48-53, doi 10.33979/2073-7432-2022-76-1-48-53.
4. Bulatova O. Yu. Mir transporta i tekhnологicheskikh mashin, 2022, no. 3-1(78), pp. 73-78, doi 10.33979/2073-7432-2022-1(78)-3-73-78.
5. Go A. T-Comm: Telekommunikatsii i transport, 2022, vol. 16, no. 10, pp. 28-35, doi 10.36724/2072-8735-2022-16-10-28-35.
6. Gryaznov N.A. Informatika i avtomatizatsiya, 2023, vol. 22, no. 1, pp. 33-56, doi 10.15622/ia.22.1.2.
7. Yevstigneyev I.A., Shmytinskiy V.V. Transport Rossiyskoy Federatsii. Zhurnal o nauke, praktike, ekonomike, 2019, no. 6(85), pp. 17-21.
8. Kurbatov D.S., Starostenko A. V. Vestnik Sibirskogo gosudarstvennogo avtomobil'no-dorozhnogo universiteta, 2025, vol. 22, no. 5, pp. 772-785, doi 10.26518/2071-7296-2025-22-5-772-785.
9. Novikov I.A., Shevtsova A.G., Kravchenko A.A., Burlutskaya A.G. Vestnik Sibirskogo gosudarstvennogo avtomobil'no-dorozhnogo universiteta, 2020, vol. 17, no. 6(76), pp. 726-735, doi 10.26518/2071-7296-2020-17-6-726-735.
10. Pokusayev O.N., Namiot D.Ye., Chekmarev A.Ye. International Journal of Open Information Technologies, 2021, vol. 9, no. 5, pp. 66-71.
11. Savel'yeva Ye.O. Vestnik Permskogo natsional'nogo issledovatel'skogo politekhnicheskogo universiteta. Prikladnaya ekologiya. Urbanistika, 2021, no. 1(41), pp. 5-18, doi 10.15593/2409-5125/2021.01.01.
12. Solodkiy A.I., Yevtyukov S.S., Chernykh N.V. Vestnik Moskovskogo avtomobil'no-dorozhnogo gosudarstvennogo tekhnicheskogo universiteta (MADI), 2024, no. 1(76), pp. 91-99.
13. Yung A.A., Shevtsova A.G. Vestnik Sibirskogo gosudarstvennogo avtomobil'no-dorozhnogo universiteta, 2022, vol. 19, no. 5(87), pp. 716-726, doi 10.26518/2071-7296-2022-19-5-716-726.
14. Li H., Zhang Ju., Li Yu., Huang Zh., Cao H. Modeling and simulation of vehicle group collaboration behaviors in an on-ramp area with a connected vehicle environment, Simulation Modelling Practice and Theory, 2021, vol. 110, p. 102332, doi 10.1016/j.simpat.2021.102332.
15. Mahmassani H.S. Methodology of dynamic network traffic distribution and modeling for advanced system management applications, Networks and Spatial Economics, 2001, no. 1(3), pp. 267-292, doi 10.1023/A:1012831808926.
16. Nedzelski M.A., Golishek S., Gurka A. Signals, rails and trams: The influence of the priority of public transport signals on the accessibility of workplaces over time, Scientific Reports, 2024, vol. 14, no. 1, p. 23459, doi 10.1038/s41598-024-74960-x.
17. Novikov A., Novikov I., Shevtsova A. Modeling of traffic-light signalization depending on the quality of traffic flow in the city, Journal of Applied Engineering Science, 2019, vol. 17, no. 2, pp. 175-181, doi 10.5937/jaes17-18117.
18. Xie N., Dong Ch., Wang H. Coordination of distributed adaptive signal control and advisory speed optimization based on shockwave theory, Computer-Aided Civil and Infrastructure Engineering, 2025, vol. 40, no. 12, doi 10.1111/mice.13364.
19. Xu Te, Barman S., Levin M.W., Chen R., Li T. Integration of the priority of the public transport signal into the control of the maximum pressure signal: methodology and simulation study of the network in the city center, Transport Research Part C: Emerging Technologies, 2022, vol. 138, p. 103614, doi 10.1016/j.trc.2022.103614.
20. Gryaznov M.V., Davydov K.A. Mir transporta, 2019, vol. 17, no. 6(85), pp. 202-220, doi 10.30932/1992-3252-2019-17-202-220.
21. Kurganov V.M., Gryaznov M.V., Davydov K.A. Vestnik Sibirskogo gosudarstvennogo avtomobil'no-dorozhnogo universiteta, 2020, vol. 17, no. 1(71), pp. 98-109, doi 10.26518/2071-7296-2020-17-1-98-109.

Abstract

The article discusses studies on changes in the main accumulating physico-chemical parameters (PCPs) of a transmission lubricant material (LM) Shell Spirax S6 ATF ZM for hydraulic mechanical gearboxes (HMT) ZF Ecolaif 6AP1700B used in city buses. The discussed study covers PCP investigations including kinematic viscosity, acid number, contents of mechanical impurities and water, concentrations of additive active elements and metal wear products, etc. During the research, resource tests were conducted under controlled operation conditions of HMT ZF Ecolaif 6AP1700B installed on an urban bus Volgabus 627102 CityRhythm 18 operating within the urban agglomeration environment. A detailed description of methods applied to investigate the transmission LM's PCP is provided in the article. A list of laboratory equipment and measuring instruments utilized during the experiments is presented. Final results from conducted experimental laboratory testing of collected samples are also outlined. During controlled tests with selected buses operating in an urban environment, dependencies were established between the changes in PCPs of lubricating materials and their operational duration within the studied HMT unit.

Keywords: city bus, hydraulic mechanical gearbox, resource testing, lubricating material, accumulating physico-chemical parameters, laboratory testing, laboratory equipment, measuring instrumentation, kinematic viscosity, acid number, water content, elements of wear, contaminants and additives

References

1. Seleznev M.V., Evseev A.A., Kotova A.A., Balak G.M., Potemkina E.V. Neftepererabotka i Neftekhimiya, 2025, no. 3, pp. 26-29.
2. Manzhev D.A., Seleznev M.V. Vestnik NGIIEI, 2018, vol. 86, no. 7, pp. 49-58.
3. Aliev K. T. Internauka, 2024, vol. 338, no. 21-3, pp. 49-51.
4. Vernigora E.R., Ivannikov V.A., Krukhmalev S.N., Matyashov A.E., Seredin G.V. Perspektivy razvitiya, innovatsii i informatsionnyye tekhnologii na transporte – 2025, Materialy konferentsii, Voronezh, Voronezhskiy gosudarstvennyy lesotekhnicheskiy universitet im. G.F. Morozova, 2025, pp. 260-267, doi 10.58168/MSTT2025_260-267.
5. Myalo V.V., Myalo O.V., Demchuk Ye.V. Elektronnyy nauchno-metodicheskiy zhurnal Omskogo GAU, 2023, no. 3(34).
6. Popova K.A., Tonkonogov B. P., Chesnokov A.V. Vysshaya shkola: nauchnyye issledovaniya, Materialy kongressa, Moscow, Infiniti, 2023, pp. 199-203, doi 10.34660/INF.2023.93.62.030.
7. Krasnov V.M., Stepin N.D. Trudy NAMI, 2022, no. 1(288), pp. 91-96, doi 10.51187/0135-3152-2022-1-91-96.
8. Pivovarchik A. A., Gavrilenya A.K. Vestnik Baranovichskogo gosudarstvennogo universiteta. Seriya: Tekhnicheskiye nauki, 2024, no. 2(16), pp. 70-74.
9. Bogdanovich N. I., Tretyakov S. I., Badogina A. I. Planirovaniye i organizatsiya eksperimenta (Planning and organization of the experiment), Arkhangel'sk, Severnyy (Arkticheskiy) federal'nyy universitet im. M.V. Lomonosova, 2025, 127 p., ISBN 978-5-261-01728-8.
10. Nazarkin V.G., Marusin A.V., Poluektov V.A., Marusina I.D. Mir transporta i tekhnologicheskikh mashin, 2025, no. 1-4(88), pp. 25-30, doi 10.33979/2073-7432-2025-1-4(88)-25-30.
11. Orekhov V.V. Aktual'nyye voprosy tekhnicheskoy ekspluatatsii i avtoservisa podvizhnogo sostava avtomobil'nogo transporta, Sbornik statei, Moscow, MADI, 2025, pp. 30-36.
12. Orekhov V.V. Vestnik Ural'skogo gosudarstvennogo universiteta putey soobshcheniya, 2024, no. 1(61), pp. 101-109, doi 10.20291/2079-0392-2024-1-101-109.
13. Orekhov V.V. Vestnik MADI, 2025, no. 2(81), pp. 111-119.

Abstract

The article provides a system analysis of scientific research in the field of complex systems functioning and identifies approaches to assessing their performance using the example of an intelligent transport system (ITS). The relevance of this study is driven by the significant increase in the number of ITS projects being implemented in the Russian Federation and the need for their quantitative and qualitative assessment. The purpose of this study is to identify and categorize groups of ITS performance indicators and develop methodological approaches to their assessment, taking into account the specific nature of ITS as a complex sociotechnical system. The conducted analysis of ITS has allowed us to determine their main characteristics. The article provides the author's definition of ITS performance based on the synthesis of key concepts from the systems general theory in the context of ITS. Based on the analysis of the goals of ITS creation and their interaction with the external metasystem, the article identifies objective and subjective indicators of ITS performance. The article also describes the main groups of ITS performance indicators and the methodological approaches to their assessment. The article's conclusions emphasize the importance of scientifically based analysis and consideration of all aspects in the process of assessing the efficiency of ITS, which has practical significance for the further development and optimization of the transport industry.

Keywords: complex technical system, intelligent transport system, efficiency, quality, functioning, conformity assessment

References

1. Anoxov I.V., Toropov N.Yu. Avtomobil. Doroga. Infrastruktura, 2024, no. 3(41).
2. Gorev A.E., Popova O.V. Vestnik Doneczkoj akademii avtomobilnogo transporta, 2016, no. 1, pp. 21-26.
3. Przhibyl P., Gorev A.E., Nogova E.G. Vestnik grazhdanskix inzhenerov, 2006, no. 4(9), pp. 68-73.
4. Zhankaziev S.V. Nauchnye osnovy i metodologiya formirovaniya intellektualnyx transportnyx sistem v avtomobilno-dorozhnyx kompleksax gorodov i regionov (Scientific foundations and methodology of formation of intelligent transport systems in automobile and road complexes of cities and regions), Doctor’s thesis, Moscow, MADI, 2012, 451 p.
5. Shhelikova N.Yu. Konstruirovanie, ispolzovanie i nadezhnost mashin selskoxozyajstvennogo naznacheniya, 2025, no. 1(24), pp. 180-185.
6. Efimov A.A., Medvedeva K.S. International Journal of Advanced Studies, 2025, vol. 15, no. 1, pp. 132-150, doi 10.12731/2227-930X-2025-15-1-349.
7. Xodoskin D.P., Matysheva D.V. Aktualnye voprosy upravleniya: novye trendy cifrovoj sredy, Sbornik materialov, Moscow, Izdatelskij dom Nauchnaya biblioteka, 2024, pp. 549-554.
8. Grebenkina S.A., Grebenkina I.A., Blagodir A.L. Vestnik Permskogo natsional'nogo issledovatel'skogo politekhnicheskogo universiteta. Sotsial'no-ekonomicheskiye nauki, 2020, no. 2, pp. 317-329, doi 10.15593/2224-9354/2020.2.23.
9. Abdullax X.F. Vestnik universiteta, 2025, no. 6, pp. 5-15, doi 10.26425/1816-4277-2025-6-5-15.
10. Belyj V.M. Prikladnaya informatika, 2013, no. 3(45), pp. 111-121.
11. Burlankov S.P., Burlankov P.S, Skvorczov A.O. Izvestiya vysshikh uchebnykh zavedeniy. Povolzhskiy region. Obshchestvennyye nauki, 2017, no. 2(42), pp. 169-183, doi 10.21685/2072-3016-2017-2-17.
12. Karasev O.I., Krivczova A.O. Vestnik Voronezhskogo gosudarstvennogo universiteta. Seriya: Ekonomika i upravleniye, 2019, no. 2, pp. 22-28.

Abstract

The article proposes an innovative approach to generating synthetic data for training neural networks that predict traffic flow dynamics at urban intersections. The authors use the SUMO microsimulator to model scenarios at real-world sites in Perm – the intersections of Bauman Street (8 directions) and Belinsky Street (12 directions), varying the intensity of flows (20–300 units/hour) and the durations of traffic light phases (20–70 seconds). During the study datasets of varying sizes (up to 150,000 records) were generated, incorporating key metrics: lost time, throughput, traffic density, queues and lane occupancy. Data unification is achieved through masking inactive directions with zero values and min-max normalization, ensuring model compatibility with different intersection configurations. Splitting into training (90%) and testing (10%) samples minimizes the effect of neural network overfitting, thereby enhancing the networks' generalization ability for adaptive traffic control tasks. The method demonstrates potential for intelligent transportation systems (ITS) scaling, enabling optimized forecasting without reliance on real-world data.

Keywords: microsimulation, dataset, neural network model, signalized intersection, SUMO simulation, min-max normalization

References

1. Beklaryan A.L., Beklaryan L.A., Akopov A.S. Biznes-informatika, 2023, vol. 17, no. 3, pp. 70-86, doi 10.17323/2587-814X.2023.3.70.86.
2. Dronseyko V.V., Merkovich A.M., Zamytskikh A.V., Maksimychev O.I. Mir transporta i tekhnologicheskikh mashin, 2023, no. 3-1(82), pp. 86-92, doi 10.33979/2073-7432-2023-3-1(82)-86-92.
3. Zhankaziyev S.V., Dronseyko V.V., Donets N.A. Avtomobil'. Doroga. Infrastruktura, 2025, no. 2(44).
4. Novikov A.N., Kushchenko L.Ye., Kushchenko S.V., Ulinets I.A. Vestnik Sibirskogo gosudarstvennogo avtomobil'no-dorozhnogo universiteta, 2025, vol. 22, no. 6(106), pp. 916-927, doi 10.26518/2071-7296-2025-22-6-916-927.
5. Novikov A.N., Yeremin S.V., Lomakin D.O. Mir transporta i tekhnologicheskikh mashin, 2020, no. 3(70), pp. 72-79, doi 10.33979/2073-7432-2020-70-3-72-79.
6. Petrov A.I., Yevtyukov S.A. Vestnik grazhdanskikh inzhenerov, 2024, no. 4(105), pp. 80-88, doi 10.23968/1999-5571-2024-21-4-80-88.
7. Pogodaev A.K., Evtyukov S.A., Klyavin V.E., Sysoev A.S., Zhikhoreva S.V. Gruzovik, 2025, no. 1, pp. 32-36, doi 10.36652/1684-1298-2025-1-32-36.
8. Semkin A.N., Shevlyakov A.N. Mir transporta i tekhnologicheskikh mashin, 2023, no. 1-1(80), pp. 50-59, doi 10.33979/2073-7432-2023-1(80)-1-50-59.
9. Shevtsova A.G., Burlutskaya A.G., Yung A.A. Intellekt. Innovatsii. Investitsii, 2022, no. 1, pp. 126-134, doi 10.25198/2077-7175-2022-1-126.
10. Chaudhuri A. Smart traffic management of vehicles using faster R-CNN based deep learning method, Scientific Reports, 2024, vol. 14, no. 1, p. 10357, doi 10.1038/s41598-024-60596-4.