«Vestnik Moskovskogo avtomobilno-dorozhnogo gosudarstvennogo tehnicheskogo universiteta (MADI)» | Number 3(86), September 2026

Abstract

One of the key issues in tunnel construction in Ho Chi Minh City is the prediction of ground surface deformations. In recent years, numerical methods have been widely adopted in the analysis of underground structures, as they enable the consideration of complex and heterogeneous ground conditions. However, the accuracy of the results largely depends on the selection of the constitutive soil model and the ground loss coefficient, whose physical meaning is the gap between the excavation cross-sectional area and the tunnel lining cross-sectional area. This paper considers two of the most commonly used soil models implemented in the PLAXIS 3D software package: the Mohr–Coulomb model and the Hardening Soil model. A comparison of the above-mentioned soil models was carried out using the example of the running tunnel of Metro Line No. 1 in Ho Chi Minh City, constructed by the shield tunnelling method (chainage PK 0+920). The strength and deformation properties of the ground were adopted based on the data obtained from an engineering geological borehole at the construction site. The soils are characterized by low bearing capacity, high porosity and full water saturation. Numerical analyses were performed to refine the ground loss ratio for shield tunnelling under the engineering geological conditions of Ho Chi Minh City, which varies from 0.6 to 1.2% in a three-dimensional numerical model. The calculations were aimed at evaluating the deformation of a historical building located on the ground surface using both soil models and comparing the results with field monitoring data obtained during construction. The study demonstrated that the Mohr–Coulomb model provides a more accurate prediction of building settlement at a ground loss ratio of VL = 0.9%.

Keywords: PLAXIS 3D, Mohr–Coulomb model, Hardening Soil model, ground loss ratio, running tunnel

References

1. Gus'kov I.A., Pestryakova E.A., Haritonov S.S., Titov E.Yu. Transportnye sooruzheniya, 2019, vol. 6, no. 3, p. 16.
2. Hung N.V., Tam N.T. Evaluate the influence of the excavation geometry of full-length construction on the longitudinal deformation of the existing tunnel when constructing the excavation using an analytical approach, Journal of Transportation Science and Technology, 2024, vol. 13, no. 3, doi 10.55228/jtst.13(3).24-32.
3. Isaev O.N., Sharafutdinov R.F. Mekhanizaciya stroitel'stva, 2012, no. 6(816), pp. 2-7.
4. Ter-Martirosyan A.Z., Tihonyuk I.A. Construction and Geotechnics, 2025. vol. 16, no. 1, pp. 47-81, doi 10.15593/2224-9826/2025.1.04.
5. Ter-Martirosyan A.Z., Cherkesov R.Kh., Isaev I.O., Rud’ V.V. Zhilishchnoe stroitel’stvo, 2023, no. 9, pp. 61-73, doi 10.31659/0044-4472-2023-9-61-73.
6. Petruhin V.P., Isaev O.N., Sharafutdinov R.F. Vestnik NIC «Stroitel'stvo», 2014, no. 10, pp. 114-131.
7. Ter-Martirosyan A.Z., Babushkin N.F., Isaev I.O., Shishkina V.V. Geotekhnika, 2020, vol. 12, no. 1, pp. 6-14, doi 10.25296/2221-5514-2020-12-1-6-14.
8. Ter-Martirosyan A.Z., Isaev I.O., Almakaeva A.S. Vestnik MGSU, 2020, vol. 15, no. 12, pp. 1644-1653, doi 10.22227/1997-0935.2020.12.1644-1653.
9. Ter-Martirosyan A.Z., Kivliuk V.P., Isaev I.O., Shishkina V.V. Construction and Geotechnics, 2021, vol. 12, no. 2, pp. 5-14, doi 10.15593/2224-9826/2021.2.01.
10. Park H., Oh J.-Y., Kim D., Chang S. Monitoring and analysis of ground settlement induced by tunnelling with slurry pressure-balanced tunnel boring machine, Advances in Civil Engineering, 2018, vol. 2018, pp. 1-10, doi 10.1155/2018/5879402.
11. Kravchenko V.V., Mai Van Lok, Hoang Viet Cuong. Nauka i tekhnika v dorozhnoi otrasli, 2025, no. 4, pp. 10-12.

Abstract

The large-scale modernization of the road network of the Russian Federation, envisaged by the national project “Infrastructure for Life,” is associated with an increase in the volume of construction, repair, and reconstruction works. This leads to temporary changes in traffic management schemes and an elevated risk of road traffic accidents. The article addresses the pressing issue of ensuring passive safety in road work zones. A comparative analysis was conducted between Russian (GOST R 58350, ODM 218.6.019–2016) and leading international (EN 1317, AASHTO MASH) regulatory approaches to the design of temporary road barriers. Significant gaps in the domestic regulatory framework were identified, particularly the absence of requirements for the minimum length of temporary parapet-type barriers, which raises concerns about their effectiveness under real operating conditions. Using a validated finite element model in the LS-DYNA software package, a parametric study was performed to assess the influence of barrier length on its key performance characteristics. For the first time in this class of problems, in addition to containment capacity and dynamic deflection, driver and passenger injury risk indicators were analyzed. A nonlinear relationship between barrier length and its deformability was established. Based on the results obtained, scientifically grounded recommendations were developed for determining the minimum required barrier length, considering speed conditions and road environment. Solutions for the safe design of the initial and terminal sections of barriers are also proposed.

Keywords: road safety, maintenance works, buffer zone, road barrier, temporary barrier, finite element method, dynamic deflection, working width, injury severity index

References

1. Meng Y., Chen Z., Wang Z., Liu Z., Qing G., Zhang Y., Qiao J., Liao H. Crash performance of a novel movable assembled barriers for expressway work zone: Finite element model and full-scale collision test, Engineering Structures, 2025, vol. 333, p. 120113, doi 10.1016/j.engstruct.2025.120113.
2. Fang Ch., Rasmussen J.D., Bielenberg R.W., Lechtenberg K.A., Faller R.K., Linzell D.G. Experimental and numerical investigation on deflection and behavior of portable construction barrier subjected to vehicle impacts, Engineering Structures, 2021, vol. 235, p. 112071, doi 10.1016/j.engstruct.2021.112071.
3. Lechtenberg K., Fang C., Faller R. Stiffening Guidance for Temporary Concrete Barrier Systems in Work Zone and Construction Situations, International Road Federation World Meeting & Exhibition, Cham, Springer International Publishing, 2021, pp. 850-867, doi 10.1007/978-3-030-79801-7_60.
4. Andreev K.P., Borychev S.N., Terentyev V.V., Shemyakin A.V. Gruzovik, 2021, no. 6, pp. 43-48.
5. Demyanushko I.V., Samigullin L.F., Surkova N.E. Development of a database for information support of virtual digital analysis in design and testing of road infrastructure elements, IOP Conference Series: Materials Science and Engineering, 2021, vol. 1159, no. 1, p. 012026, doi 10.1088/1757-899x/1159/1/012026.
6. Skibicki S., Zieliński A., Aguilar V., Hurtado P., Kaszyńska M., Nowak A. Optimization of a temporary road traffic steel barrier using explicit finite element method and laboratory testing, Engineering Structures, 2023, vol. 291, pp. 116463, doi 10.1016/j.engstruct.2023.116463.
7. Sun X., Wang Z. Simulation and Optimization of Crash Performance of Movable Barrier at Median Strip, KSCE Journal of Civil Engineering, 2022, vol. 26, no. 2, pp. 874-881, doi 10.1007/s12205-021-0172-0.
8. Demyanushko I.V., Titov O.V., Mikheev P.S., Karpov I.A. Vestnik MGSU, 2024, vol. 19, no. 12, pp. 1896-1919, doi 10.22227/1997-0935.2024.12.1896-1919.
9. Bielenberg R.W., Faller R.K., Reid J.D., Schmidt J.D., Pajouh M.A., Emerson E. Development of retrofit, low-deflection portable concrete barrier system, Journal of Transportation Safety & Security, 2019, vol. 11, no. 4, pp. 333–352, doi 10.1080/19439962.2017.1420717.
10. Demyanushko I.V., Gruzdev A.S., Mikheev P.S., Titov O.V. Nauka i tekhnika v dorozhnoy otrasli, 2022, no. 1, pp. 7-10.
11. Andreev K.P., Terentyev V.V., Shemyakin A.V. Transport. Transportnyye sooruzheniya. Ekologiya, 2018, no. 1, pp. 5-12, doi 10.15593/24111678/2018.01.01.

Abstract

The quality of mechanical machining of parts made from polymer composite materials (PCM) is one of the key factors determining their strength and durability. Even minor defects arising during machining can lead to a significant reduction in operational characteristics and premature structural failure. Therefore, the selection of technological parameters and cutting tools for the machining of composite machine parts should be based on the results of a comprehensive study that takes into account the structural, physical-mechanical, and thermophysical properties of the PCM components. The influence of the type of reinforcing fibers in polymer composite materials (glass, carbon, basalt) and the structural properties of woven fillers (density, thickness, weave type) on the quality of milling composite parts made from them is considered. A comparative analysis of the mechanisms of destruction of fibers of various types under the influence of the cutting edge of the tool was carried out. It is shown that differences in the quality of the machined surface are directly determined by the microstructure of the fibers and their thermal conductivity. Particular attention is given to the effect of the weaving pattern of the reinforcing fabric (plain and twill) and its surface density on the microhardness of the composite and structural stability during cutting. Understanding these interrelations is fundamental for optimizing technological regimes and tool selection to ensure high surface quality of PCM parts.

Keywords: basaltoplastik, defect, microhardness, density, weave, fiberglass, carbon fiber, milling

References

1. Timoshkov P.N., Hrulkov A.V., Yazvenko L.N. Trudy VIAM, 2017, no. 6 (54), pp. 61-68.
2. Donetskiy K.I., Bystrikova D.V., Karavaev R.Yu., Timoshkov P.N. Trudy VIAM, 2020, no. 3 (87), pp. 82-93.
3. Ivankov R.R., Klimenko O.N., Gulyaev I.N., Osiyanenko N.V. Trudy VIAM, 2025, no. 6 (148), pp. 46-63.
4. Karatas M.A., Gokkaya H. A review on machinability of carbon fiber reinforced polymer (CFRP) and glass fiber reinforced polymer (GFRP) composite materials, Defence Technology, 2018, Vol 14, issue 4, pp. 318-326.
5. Golubeva K., Noskov A. Science intensive technologies in mechanical engineering, 2021, no. 6 (120), pp. 24-28.
6. Malysheva G.V., Guzeva T.А., Fedorov B.B. Sovremennye naukoemkie tekhnologii, 2018, no. 9, pp. 66-70.
7. Bolotnikov I.S., Kosenko E.A., Demin P.E. All materials. Encyclopaedic reference manual, 2023, no. 5, pp. 28-34.
8. Bolotnikov I.S., Kosenko E.A. Tehnologia metallov, 2023, no. 7, pp. 8-16.
9. Savitskiy R.S., Veshkin E.A. Izvestiya Samarskogo nauchnogo centra Rossijskoj akademii nauk, 2017, vol. 19, no. 4(2), pp. 214-219.
10. Raskutin A.E., Khrulkov A.V., Girsh R.I. Trudy VIAM, 2016, no. 9 (45), pp. 106-118.
11. Havigh R.Sh., Chenari H.M. A comprehensive study on the effect of carbonization temperature on the physical and chemical properties of carbon fibers, Scientific reports, 2022, Vol.12, issue 10704.
12. Aygün, H.H., Bay U., Alma M.H. Structural, thermal and X-ray shielding properties of basalt and glass fiber reinforced epoxy, Scientific Reports, 2025, Vol.15, issue 33339.

Abstract

A key technological process in the production of polymer composite materials involves repeated mixing at various stages of preparing the constituent components of the resulting high-molecular-weight composite–whether in the form of a solution, emulsion, suspension, dispersion, melt, or otherwise. The application of ultrasonic vibrations is the most effective method for intensifying this mixing process. Ultrasonic vibrations are generated within the liquid processing volume using a magnetostrictive transducer soldered to a waveguide, coupled with a radiator that is typically attached to the waveguide via a threaded connection. This study examines the technological effectiveness of ultrasonic component mixing based on the acoustic and technological parameters of the ultrasonic field within the liquid. These parameters include the oscillation frequency, the displacement amplitude of the radiator's working face, the scale of acoustic flows within the treated liquid, and the spatial arrangement of the ultrasonic radiators within the processing volume. The effectiveness of using ultrasound in the production of polymer composite materials was evaluated based on the erosive activity of the cavitation zone and the magnitude of the acoustic flows.

Keywords: composite, polymer, alloy, ultrasound, liquid, emitter, amplitude, cavitation, erosion, acoustic flows

References

1. Sundukov S.K. Obrabotka metallov (tekhnologiya, oborudovaniye, instrumenty), 2026, vol. 28, no. 1, pp. 6-28, doi 10.17212/1994-6309-2026-28.1-6-28.
2. Sundukov S.K., Nechay A.A., Rakhmatulayev A.A. Remont. Vosstanovleniye. Modernizatsiya, 2026, no. 5, pp. 11-20, doi 10.31044/1684-2561-2026-0-5-11-20.
3. Prikhodko V.M., Buslaev A.P., Norkin S.B., Yashina M.V. Modelling of cavitational erosion in the area of surfaces of smooth contact, Ultrasonics Sonochemistry, 2001, vol. 8, no. 1, pp. 59-67, doi 10.1016/S1350-4177(99)00048-6.
4. Prikhod'ko V.M., Nigmetzyanov R. I., Fatyukhin D.S. Naukoyemkiye tekhnologii v mashinostroyenii, 2014, no. 7(37), pp. 15-20.
5. Fatyukhin D.S. Naukoyemkiye tekhnologii v mashinostroyenii, 2012, no. 10(16), pp. 20-23.
6. Aleksandrov V.A., Fatyukhin D.S. Deformatsiya i razrusheniye materialov, 2012, no. 10, pp. 38-40.
7. Prikhod'ko V.M., Nigmetzyanov R.I., Sundukov S.K., Fatyukhin D.S. Naukoyemkiye tekhnologii v mashinostroyenii, 2023, no. 8(146), pp. 20-26, doi 10.30987/2223-4608-2023-20-26.
8. Sundukov S.K., Nigmetzyanov R.I., Fatyukhin D.S., Kol'dyushov V.K. Vse materialy. Entsiklopedicheskiy spravochnik, 2025, no. 7, pp. 16-22, doi 10.31044/1994-6260-2025-0-7-16-22.
9. Sundukov S.K., Nigmetzyanov R.I., Fatyukhin D.S., Kol'dyushov V.K. Vse materialy. Entsiklopedicheskiy spravochnik, 2025, no. 8, pp. 27-34, doi 10.31044/1994-6260-2025-0-8-27-34.
10. Sundukov S. K. Ul'trazvukovyye tekhnologii v protsessakh polucheniya neraz"yomnykh soyedineniy (Ultrasonic technologies in the processes of producing permanent connections), Moscow, Obshchestvo s ogranichennoy otvetstvennost'yu "Tekhpoligraftsentr", 2023, 269 p., ISBN 978-5-94385-209-1.

Abstract

The article presents a comprehensive analysis of the dynamic properties of single-track vehicles (STV) with an emphasis on controllability and stability. The article considers the features of STV controllability and stability, as well as options for experimental and theoretical determination of the indicators. Particular attention is paid to the analysis of critical modes of STV movement under various operating conditions. The results of theoretical studies of the influence of various STV design parameters on controllability and stability are presented, such as: mass distribution, characteristics of tires and assembled wheels, etc. The prospects for experimental determination of wheel adhesion parameters to the road surface under various driving conditions on a drum test rig are considered. A promising method for conducting STV stability and controllability studies is considered: a computational and experimental one. The initial data in the considered method will be obtained through road tests and STV tire tests on a rig with a rolling drum. All obtained data will be integrated into a virtual STV model, and extended computational studies of the STV movement parameters in critical modes will be carried out. A rig for testing STV tires with the ability to roll at various angles in the vertical and horizontal planes and under various driving modes is being developed jointly by Irkutsk National Research Technical University and Siberian State Automobile and Road Construction Institute (SibADI) for the first time in Russia. The project is aimed at researchers in the field of transport dynamics, STV designers, and safety system developers.

Keywords: single-track vehicle (STV), stability, controllability, dynamics, drum stand, critical driving mode

References

1. Maknickas A., Ardatov O., Bogdevicius M., Kačianauskas R. Modelling the Interaction between a Laterally Deflected Car Tyre and a Road Surface, Applied Sciences (Switzerland), 2022, vol. 12, no. 22, p. 11332, doi 10.3390/app122211332.
2. Desnica E., Đurđev M., Vaščić B., Turmanidze R., Dašić P. Determination of a Safety Factor of a Car Wheel Rim Using Finite Element Analysis in Solidworks, Applied Engineering Letters, 2022, vol. 7, no. 4, pp. 163-171, doi 10.18485/aeletters.2022.7.4.4.
3. Leidenfrost D., Moarefi B. Generative-Engineering-Ansatz für einen B-Säulen-Karosserieknoten, ATZ Automobiltechnische Zeitschrift, 2020, vol. 122, no. 11, pp. 68-71, doi 10.1007/s35148-020-0333-3.
4. Ning F., Cong W., Qiu J., Wei J., Wang S. Additive manufacturing of carbon fiber reinforced thermoplastic composites using fused deposition modeling, Composites Part B: Engineering, 2015, vol. 80, pp. 369-378, doi 10.1016/j.compositesb.2015.06.013.
5. Tian X., Todoroki A., Liu T., et al. 3D Printing of Continuous Fiber Reinforced Polymer Composites: Development, Application, and Prospective, Chinese Journal of Mechanical Engineering: Addi-tive Manufacturing Frontiers, 2022, vol. 1, no. 1, p. 100016, doi 10.1016/j.cjmeam.2022.100016.
6. Kartashov A. B. Trudy NGTU im. R.Ye. Alekseyeva, 2010, no. 3(82), pp. 155-159.
7. Borodulin A. S. Materialovedeniye, 2012, no. 7, pp. 34-37.
8. Chugunov M. V., Polunina I. N. Vestnik Mordovskogo Universiteta, 2017, vol. 27, no. 2, pp. 169-177, doi 10.15507/0236-2910.027.201702.169-177.
9. Maiya U. S., Manjunath M., Balakrishna Sh. H., Billady R. K. CAD Modelling and Fatigue Analysis of a Wheel Rim Incorporating Finite Element Approach, Universal Journal of Mechanical Engineering, 2023, vol. 11, no. 2, pp. 36−45, doi 10.13189/ujme.2023.110202.
10. Li N., Li Y., Liu S. Rapid prototyping of continuous carbon fiber reinforced polylactic acid composites by 3D printing, Journal of Materials Processing Technology, 2016, vol. 238, pp. 218-225, doi 10.1016/j.jmatprotec.2016.07.025.

Abstract

The paper examines the influence of the power distribution law between the fuel cell and traction battery on the evaluation of different hydrogen vehicle power plant configurations. The relevance of the study is determined by the fact that fuel cell power, traction battery capacity and the mass of stored hydrogen cannot be evaluated independently of the control algorithm. Power distribution between energy sources affects hydrogen consumption, battery state of charge, regenerative braking capability and feasibility of the selected configuration. The purpose of the study is to justify the use of dynamic programming as a computational tool that provides a correct comparison of different power plant configurations on a given route. The main groups of energy management strategies are considered: rule-based strategies, optimization-based methods, machine learning methods and strategies using intelligent transport infrastructure data. Requirements for the control method are formulated from the standpoint of component sizing: maintaining the initial battery state of charge at the end of the route, taking into account fuel cell power limits and battery current limits, and avoiding repeated tuning when power plant parameters are changed. It is shown that dynamic programming meets these requirements and can be used as a reference offline method for forming the control law when selecting rational parameters of a hydrogen power plant.

Keywords: hydrogen transport, fuel cell, power plant, traction battery, energy management strategy, dynamic programming

References

1. Zhang W., Fang X., Sun C. The alternative path for fossil oil: Electric vehicles or hydrogen fuel cell vehicles? Journal of Environmental Management, 2023, vol. 341, p. 118019, doi 10.1016/j.jenvman.2023.118019.
2. Karpuhin K.E., Keller A.V. Trudy NAMI, 2025, no. 2, pp. 56-66.
3. Ajanovic A., Glatt A., Haas R. Prospects and impediments for hydrogen fuel cell buses, Energy, 2021, vol. 235, p. 121340, doi 10.1016/j.energy.2021.121340.
4. Ahmadi P., Khoshnevisan A. Dynamic simulation and lifecycle assessment of hydrogen fuel cell electric vehicles considering various hydrogen production methods, International Journal of Hydrogen Energy, 2022, vol. 47, no. 62, pp. 26758-26769, DOI 10.1016/j.ijhydene.2022.06.215.
5. Mohammed A.S., Atnaw S.M., Salau A.O. Review of optimal sizing and power management strategies for fuel cell/battery/super capacitor hybrid electric vehicles, Energy Reports, 2023, vol. 9, pp. 2213-2228, doi 10.1016/j.egyr.2023.01.042.
6. Kaya A., Puglia M., Morselli N., Allesina G., Pedrazzi S. Optimizing the powertrain of a fuel cell electric bus: a sizing and hybridization analysis, Fuels, 2025, vol. 6, no. 4, p. 78, doi 10.3390/fuels6040078.
7. Cărăușan H., Varga B.O., Moldovanu D., Prunean G., Oargă I.T. Energy Efficiency Analysis of a Fuel Cell Bus Model Using Real Scenarios Generated by Data Collection, Sustainability, 2024, vol. 16, no. 5, p. 1863, doi 10.3390/su16051863.
8. Hames Y., Kaya K., Baltacioglu E., Türksoy A. Analysis of the control strategies for fuel saving in the hydrogen fuel cell vehicles, International Journal of Hydrogen Energy, 2018, vol. 43, no. 23, pp. 10810-10821, doi 10.1016/j.ijhydene.2017.12.150.
9. Essoufi M., Benzaouia M., Hajji B., Rabhi A., Calì M. Advancing energy management strategies for hybrid fuel cell vehicles: a comparative study of deterministic and fuzzy logic approaches, World Electric Vehicle Journal, 2025, vol. 16, no. 8, p.444, doi 10.3390/wevj16080444.
10. Yadav S., Assadian F. Robust energy management of fuel cell hybrid electric vehicles using fuzzy logic integrated with H-infinity control, Energies, 2025, vol. 18, no. 8, p. 2107. doi 10.3390/en18082107.
11. Tran D., Vafaeipour M., El Baghdadi M., Barrero R., Van Mierlo J., Hegazy O. Thorough state-of-the-art analysis of electric and hybrid vehicle powertrains: topologies and integrated energy management strategies, Renewable and Sustainable Energy Reviews, 2020, vol. 119, p. 109596, doi 10.1016/j.rser.2019.109596.
12. Xiao X., Shu C., Dong H., Tang Yu., Feng J., Yuan H., Bai Sh., Zhu S., Li G. Weighting optimization for fuel cell hybrid vehicles: lifetime-conscious component sizing and energy management, Applied Sciences (Switzerland), 2025, vol. 15, no. 7, p. 3586, doi 10.3390/app15073586.
13. Xu L., Yang F., Li J., Ouyang, M., Hua J. Real time optimal energy management strategy targeting at minimizing daily operation cost for a plug-in fuel cell city bus, International Journal of Hydrogen Energy, 2012, vol. 37, no. 20, pp. 15380-15392, doi 10.1016/j.ijhydene.2012.07.074.
14. Zhang Y., Wei C., Liu Y., Chen Zh., Hou Zh., Xu N. A novel optimal power management strategy for plug-in hybrid electric vehicle with improved adaptability to traffic conditions, Journal of Power Sources, 2021, vol. 489, p. 229512, doi 10.1016/j.jpowsour.2021.229512.

Abstract

Trajectory planning is a key technology for ensuring the autonomous movement of ground mobile robots as a class of ground transport-technological vehicles. The evolution of methods ‒ from geometric and rule-based approaches to optimization-based solutions and the integration of machine learning methods ‒ has led to an exponential growth in the number of publications, as a result of which traditional narrative reviews are no longer sufficient to systematically reflect the structure and dynamics of this research field. In this study, a comprehensive bibliometric analysis of the literature on trajectory planning was conducted based on the WoS database in order to identify the key directions and major development trends in this field. The results of the quantitative analysis and visualization show that this research area has developed particularly intensively over the past five years. It was found that ETH Zurich is the leading research center in this field, while RA-L and T-RO are the main publication venues. An evolution of the research agenda was identified: from problems involving kinematic constraints to online trajectory planning and optimization, and then to close integration with motion control systems. Among the most topical directions, predictive control and consideration of quadruped robot dynamics were highlighted. The use of visualization methods and knowledge graphs made it possible to reveal the internal structure of the research field, identify current scientific trends and establish a methodological basis for further studies in the field of motion planning for ground transport-technological robotic systems.

Keywords: ground mobile robots, transport-technological vehicles, trajectory planning, bibliometric analysis, knowledge graphs

References

1. Zafar M.N., Mohanta J.C. Methodology for Path Planning and Optimization of Mobile Robots: A Review, Procedia Computer Science, 2018, vol. 133, 141–152, doi 10.1016/j.procs.2018.07.018.
2. Liu L.X., Wang X., Yang X., Liu H.J., Li J.P., Wang P.F. Path planning techniques for mobile robots: Review and prospect, Expert Systems with Applications, 2023, vol. 227, p. 120254, doi 10.1016/j.eswa.2023.120254.
3. Pshikhopov V.Kh., Medvedev M.Yu., Brosalin D.O., Vasil'eva M.A., Gurenko B. V., Khamdan N. Izvestiya YuFU. Tekhnicheskie nauki, 2022, vol. 227, no. 3, pp. 170-192, doi 10.18522/2311-3103-2022-3-170-192.
4. Lukin D.S., Kosenko E.Yu. Sistemy analiza i obrabotki dannykh, 2023, vol. 92, no. 4, pp. 55-68, doi 10.17212/2782-2001-2023-4-55-68.
5. Chen C. CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature, Journal of the American Society for Information Science and Technology, 2006, vol. 57, no. 3, pp. 359-377, doi 10.1002/asi.20317.
6. Goossen K., Hess S., Lunny C., Pieper D. Database combinations to retrieve systematic reviews in overviews of reviews: a methodological study, BMC Medical Research Methodology, 2020, vol. 20, no. 1, pp. 1-15, doi 10.1186/s12874-020-00983-3.
7. Singh S., Dwivedi A., Pratap S. Sustainable Maritime Freight Transportation: Current Status and Future Directions, Sustainability, 2023, vol. 15, no. 8, p. 6996, doi 10.3390/su15086996.
8. Börner K., Chen C. M., Boyack K.W. Visualizing knowledge domains, Annual Review of Information Science and Technology, 2005, vol. 37, no. 1, pp. 179-255, doi 10.1002/aris.1440370106.
9. Kleinberg J. Bursty and Hierarchical Structure in Streams, Data Mining and Knowledge Discovery, 2003, vol. 7, no. 4, pp. 373-397.
10. Hu C.P., Hu J.M., Deng S.L., Liu Y. A co-word analysis of library and information science in China, Scientometrics, 2013, vol. 97, no. 2, pp. 369-382, doi 10.1007/s11192-013-1076-7.
11. Bornmann L., Haunschild R., Mutz R. Growth rates of modern science: a latent piece-wise growth curve approach to model publication numbers from established and new literature databases, Humanities & Social Sciences Communications, 2021, vol. 8, no. 1, p. 224, doi 10.1057/s41599-021-00903-w.
12. Newman M.E.J., Girvan M. Finding and evaluating community structure in networks, Physical Review E, 2004, vol. 69, no. 2, p. 026113, doi 10.1103/PhysRevE.69.026113.
13. Borgatti S.P., Everett M.G. Models of core/periphery structures, Social Networks, 2000, vol. 21, no. 4, pp. 375-395, doi 10.1016/S0378-8733(99)00019-2.
14. Donthu N., Kumar S., Mukherjee D., Pandey N., Lim W.M. How to conduct a bibliometric analysis: An overview and guidelines, Journal of Business Research, 2021, vol. 133, pp. 285-296, doi 10.1016/j.jbusres.2021.04.070.
15. Wang J., Frietsch R., Neuhäusler P., Hooi R. International collaboration leading to high citations: Global impact or home country effect?, Journal of Informetrics, 2024, vol. 18, no. 4, p. 101565, doi 10.1016/j.joi.2024.101565.
16. Nan D., Zhao X., Chen C., Sun S., Lee K.R., Kim J.H. Bibliometric Analysis on ChatGPT Research with CiteSpace, Information, 2025, vol. 16, no. 1, p. 38, doi 10.3390/info16010038.
17. Landry B., Deits R., Florence P.R., Tedrake R. Aggressive quadrotor flight through cluttered environments using mixed integer programming, 2016 IEEE International Conference on Robotics and Automation (ICRA), IEEE, 2016, pp. 1469-1475, doi 10.1109/ICRA.2016.7487282.
18. Chen Y., Cutler M., How J.P. Decoupled multiagent path planning via incremental sequential convex programming, 2015 IEEE International Conference on Robotics and Automation (ICRA), IEEE, 2015, pp. 5954-5961, doi 10.1109/ICRA.2015.7140034.
19. Blackmore L., Ono M., Williams B.C. Chance-Constrained Optimal Path Planning With Obstacles, IEEE Transactions on Robotics, 2011, vol. 27, no. 6, pp. 1080-1094, doi 10.1109/TRO.2011.2161160.
20. Rockafellar R.T., Uryasev S. Optimization of conditional value-at-risk, Journal of Risk, 2000, vol. 2, no. 3, pp. 1-26.

Abstract

A methodology is proposed for determining the rational location of a regional distribution center (DC) in a two-level cargo delivery system by road transport. Unlike classical approaches that minimize distance or transportation costs, the optimality criterion adopted is the minimum total delivery time, including travel time and dwell time at loading and unloading points. The methodology includes two stages: at the first stage, the coordinates of the temporary center of gravity are determined, followed by the formation of ring routes with backhauls using the method of fictitious nodes and branches (FNB) under constraints on vehicle capacity and the number of stops; at the second stage, the location of the distribution center is refined by sequentially checking the nearest nodes of the transport network. To improve the accuracy of calculations, piecewise linear approximation of routes is applied. The functionality of the methodology is demonstrated using a numerical example.

Keywords: distribution center, routing, method of fictitious nodes and branches, piecewise linear approximation, delivery time, ring routes, backhaul

References

1. Akulov A.S., Bezotosnaya A.D., Pak T.V. Vestnik Astrahanskogo gosudarstvennogo tekhnicheskogo universiteta. Seriya: Upravlenie, vychislitel'naya tekhnika i informatika, 2023, no. 3, pp. 105-113, doi 10.24143/2072-9502-2023-3-105-113.
2. Antipkina U.S. Studencheskiy, 2025, no. 38-4(334), pp. 70-71.
3. Vypryazhkina I.B., Ivanova E.V., Nikolaev A.A. Zhurnal monetarnoy ekonomiki i menedzhmenta, 2026, no. 5, pp. 462-474, doi 10.26118/2782-4586.2026.38.96.080.
4. Zhukov B.M., Popov R.A., Gorlachev P.V. Ekonomika i predprinimatel'stvo, 2024, no. 3(164), pp. 654-660, doi 10.34925/EIP.2024.164.3.125.
5. Kakhrimanova D.G., Sudarikov A.V. Innovatsionnaya ekonomika i sovremennyy menedzhment, 2023, no. 1(43), pp. 40-42.
6. Novikov A.N., Zhestkova S.A. Mir transporta i tekhnologicheskih mashin, 2024, no. 1-3(84), pp. 19-26, doi 10.33979/2073-7432-2024-1-3(84)-19-26.
7. Novikov A.N., Zhestkova S.A. Mir transporta i tekhnologicheskih mashin, 2023, no. 4-2(83), pp. 70-76, doi 10.33979/2073-7432-2023-4-2(83)-70-76.
8. Protasov Yu.M., Yurov V.M. Vestnik Moskovskogo gosudarstvennogo oblastnogo universiteta. Seriya: Ekonomika, 2022, no. 2, pp. 95-103, doi 10.18384/2310-6646-2022-2-95-103.
9. Pserovskaya E.D., Grefenshtein A.P. Nedropol'zovanie i transportnye sistemy, 2023, vol. 13, no. 1, pp. 4-11, doi 10.18503/SMTS-2023-13-1-4-11.
10. Tsvetkov V.A., Abramov E.G., Mayorova E.A. Ekonomika regiona, 2025, vol. 21, no. 1, pp. 70-84, doi 10.17059/ekon.reg.2025-1-6.

Abstract

The article considers the problem of road transport routing with restrictions on the number of points per route and vehicle load capacity. The solution is based on Bellman’s dynamic programming method. An improved technique is proposed, which introduces dummy nodes and branches into the transport graph to model repeated visits to vertices. Unlike the classical traveling salesman problem requiring a Hamiltonian cycle, this approach allows multiple node visits, more accurately reflecting real delivery processes. Numerical verification is performed on a five-node transport network. The proposed modification yields a total route length of 39,3 km, which is 3,5 km less than the branch-and-bound method. Two optimal circular routes are constructed, including a return to an intermediate node via a dummy vertex. The results confirm the effectiveness of the enhanced dynamic programming method for routing problems with point and capacity constraints.

Keywords: dynamic programming, traveling salesman problem, routing, dummy nodes, Bellman function, number of points limit, cargo capacity

References

1. Bodnyuk M.E., Znajdyuk A.N., Bajkova L.A. Molodaya nauka Sibiri, 2023, no. 1(19), pp. 221-228.
2. Kuznecov A.L. Vestnik gosudarstvennogo universiteta morskogo i rechnogo flota im. admirala S.O. Makarova, 2020, vol. 12, no. 2, pp. 230-238, doi 10.21821/2309-5180-2020-12-2-230-238.
3. Novikov A.N., Zhestkova S.A. Mir transporta i tekhnologicheskih mashi, 2024, no. 4-1(87), pp. 134-142, doi 10.33979/2073-7432-2024-4-1(87)-134-142.
4. Novikov A.N., Zhestkova S.A. Mir transporta i tekhnologicheskih mashin, 2023, no. 4-2(83), pp. 70-76, doi 10.33979/2073-7432-2023-4-2(83)-70-76.
5. Safina G.F., Tuhbatova G.Z. Mezhdunarodnyj zhurnal gumanitarnyh i estestvennyh nauk, 2024, no. 4-5(91), pp. 114-118, doi 10.24412/2500-1000-2024-4-5-114-118.
6. Chaadaev K.V. Sovremennaya nauka: aktual'nye problemy teorii i praktiki. Seriya: Estestvennye i tekhnicheskie nauki, 2022, no. 1-2, pp. 63-71, doi 10.37882/2223-2966.2022.01-2.21.
7. Chernyshev Yu.O., Kubil V.N. Programmnye produkty i sistemy, 2020, no. 3, pp. 491-501.

Abstract

A retrospective analysis of the results of several research studies devoted to the problems of assembly and disassembly of threaded connections used in automotive and agricultural engineering. The analysis revealed that the problems under consideration can be divided into three groups: assembly problems related to the material used, assembly problems related to the connection design, and disassembly problems. It has been established that researchers most frequently cite uneven load distribution along the threads, the occurrence of self-unscrewing, and surface corrosion as the main problems with threaded connections. The paper examines current solutions to the identified problems, which can be divided into three areas: the introduction of a third body; design modifications during the design and manufacturing stages; and the use of improved assembly and disassembly processes, along with the application of impacts on automotive fasteners. The main shortcomings of the proposed methods for solving assembly and disassembly problems are identified. It has been established that most work in this area focuses on specific problem-solving methods, often neglecting to consider combinations of these methods. It has been proven that one of the promising methods for solving the described problems of using fasteners in the mechanical engineering is the use of ultrasonic vibrations at the stages of assembly and disassembly, which solves most of the problems considered.

Keywords: ultrasound, vibrations, assembly, disassembly, threaded connection, anaerobic threadlockers, thread

References

1. Kochetkova M.V., Kochetkov D.V., Smogunov V.V. Vestnik transporta Povolzh'ya, 2013, no. 2(38), pp. 74-79.
2. Kolesnikov I.V., Ozyabkin A.L., Chelokh'yan A.V. Vestnik Rostovskogo gosudarstvennogo universiteta putey soobshcheniya, 2005, no. 3, pp. 10-22.
3. Potekhin R.N. Reshetnevskiye chteniya, 2013, vol. 1, pp. 433-434.
4. Shestopalova L.P., Likhacheva T.Ye. Problemy ekspertizy v avtomobil'no-dorozhnoy otrasli, 2022, no. 3(4), pp. 23-43.
5. Malygin V.I., Lobanov N.V., Vasil'yev A.V. Tyazheloye mashinostroyeniye, 2014, no. 11-12, pp. 46-49.
6. Ivanov A.S., Murkin S.V., Novikov Ye.S. Vestnik mashinostroyeniya, 2024, vol. 103, no. 3, pp. 189-192, doi 10.36652/0042-4633-2024-103-3-189-192.
7. Barabanova I.A. Naukoyemkiye tekhnologii v mashinostroyenii, 2023, no. 1(139), pp. 20-23, doi 10.30987/2223-4608-2023-1-20-23.
8. Rud' Yu. S., Belonozhko V.Yu. Gornyy informatsionno-analiticheskiy byulleten', 2006, no. 1, pp. 296-302.
9. Galeyev A.S., Mindiyarova N.I., Suleymanov R.N. Stroitel'stvo neftyanykh i gazovykh skvazhin na sushe i na more, 2009, no. 1, pp. 31-35.
10. Voyachek I.I., Kochetkov D.V. Vestnik mashinostroyeniya, 2017, no. 2, pp. 41-46.
11. Berezin S.Ya., Chumakov R.E., Karpov A.R. Patent RU 2585590 C1, 27.05.2016.
12. Tskhay E.B., Klopotov A.A., Volokitin G.G. Sovremennyye problemy teorii mashin, 2014, no. 2, pp. 157-161.
13. Nechai A.A., Nigmetzyanov R.N., Sundukov S.K., Sukhov A.V., Fatyukhin D.S. Assembly of Threaded Joints in the Presence of Shear Ultrasound, Russian Engineering Research, 2022, vol. 42, no. 2, pp. 169-171, doi 10.3103/S1068798X22020174.
14. Nigmetzyanov R.I., Sundukov S.K., Sukhov A.V., Fatyukhin D.S. Naukoyemkiye tekhnologii v mashinostroyenii, 2021, no. 12(126), pp. 26-30, doi 10.30987/2223-4608-2021-12-26-30.
15. Nigmetzyanov R.I., Sundukov S.K., Sukhov A.V., Fatyukhin D.S., Simonov D.S. Improvement of Threaded-Joint Assembly Using Ultrasound, Russian Engineering Research, 2021, vol. 41, no. 6, pp. 567-569, doi 10.3103/S1068798X21060150.
16. Nigmetzyanov R.I., Sundukov S.K., Sukhov A.V., Fatyukhin D.S., Simonov D.S. STIN, 2021, no. 3, pp. 35-37.
17. Neverov A.N. Vestnik Moskovskogo avtomobil'no-dorozhnogo gosudarstvennogo tekhnicheskogo universiteta (MADI), 2014, no. 4(39), pp. 54-61.
18. Neverov A.N. Vestnik Moskovskogo avtomobil'no-dorozhnogo gosudarstvennogo tekhnicheskogo universiteta (MADI), 2015, no. 2(41), pp. 15-20.
19. Medentsov V.E., Petrova M.A., Samoylenko V.M. Nauchnyy vestnik Moskovskogo gosudarstvennogo tekhnicheskogo universiteta grazhdanskoy aviatsii, 2017, vol. 20, no. 3, pp. 41-48.
20. Shemyakin A.V., Fadeev I.V., Uspensky I.A., Yukhin I.A., Chatkin M.N. Inzhenernyye tekhnologii i sistemy, 2023, vol. 33, no. 2, pp. 256-269, doi 10.15507/2658-4123.033.202302.256-269.
21. Minin S. I., Khamitsayev A. S., Terekhin A. V., Chulkov D.I., Filatov A.A. Patent RU 2835978 C1, 07.03.2025.

Abstract

The article presents a systemic analysis of the methodology for planning and developing the charging infrastructure required for transitioning urban passenger transport to electric traction in a megacity. The study examines the management principles of this process, assesses the long-term balance between the growth of the electric bus fleet and the network of ultra-fast charging stations (UFCS), and develops a methodological approach to substantiating charging infrastructure parameters. The objectives include: analyzing the dynamics of the adaptively managed "electric bus/UFCS" ratio; identifying architectural and logistical principles of a two-level network; constructing an objective function based on the criteria of reliability, cost efficiency and environmental friendliness, subject to available electric power constraints; and defining the assumptions and limitations of the approach for the approved horizon up to 2030 and in a scenario-based setting up to 2050. The workability of the approach is confirmed by a computational verification of the approved network development program. The identified principles – dynamic balance, hierarchical network architecture, institutional integration mechanisms and strategic redundancy – combined with the proposed model form a foundation applicable to other large urban agglomerations.

Keywords: charging infrastructure, electric bus, objective function, charging station utilisation rate, electric power deficit

References

1. Little Arthur D. The Future of Urban Mobility 2.0: Imperatives to Shape Extended Mobility Ecosystems of Tomorrow, Brussels, UITP, 2014, 72 p.
2. Filippova R.V., Fen'kov I.A. Vestnik Sibirskogo gosudarstvennogo avtomobil'no-dorozhnogo universiteta, 2025, v0l. 22, no. 5(105), pp. 786-802, doi 10.26518/2071-7296-2025-22-5-786-802.
3. Nadiryan S.L., Kotsurba S.V., Kamyshnikova N.A. Nauka. Tekhnika. Tekhnologii (politekhnicheskiy vestnik), 2024, no. 2, pp. 69-71.
4. Kogan D.B. Gumanitarnyye, sotsial'no-ekonomicheskiye i obshchestvennyye nauki, 2018, no. 10, pp. 228-231, doi 10.23672/SAE.2018.2018.19358.
5. Grishin A.A., Zhankaziyev S.V., Titova S.S. Vestnik Sibirskogo gosudarstvennogo avtomobil'no-dorozhnogo universiteta, 2025, vol. 22, no. 6(106), pp. 896-915, doi 10.26518/2071-7296-2025-22-6-896-915.
6. Chikishev Ye.M., Kapskiy D.V., Semchenkov S.S. Nauka i tekhnika, 2023, vol. 22, no. 1, pp. 48-59, doi 10.21122/2227-1031-2023-23-1-48-59.
7. Perumal Sh.S.G., Lusby R.M., Larsen J. Electric bus planning & scheduling: A review of related problems and methodologies, European Journal of Operational Research, 2022, vol. 301, no. 2, pp. 395-413, doi 10.1016/j.ejor.2021.10.058.
8. Gorbunova A.D. Vestnik grazhdanskikh inzhenerov, 2021, no. 4(87), pp. 127-133, doi 10.23968/1999-5571-2021-18-4-127-133.
9. Makarova I.V., Sadygova G.R. Vestnik Luganskogo natsional'nogo universiteta imeni Vladimira Dalya, 2019, no. 6(24), pp. 147-151.
10. Xylia M., Leduc S., Patrizio P., Kraxner F., Silveira S. Locating charging infrastructure for electric buses in Stockholm, Transportation Research Part C: Emerging Technologies, 2017, vol. 78, pp. 183-200, doi 10.1016/j.trc.2017.03.005.
11. Kunith A., Mendelevitch R., Goehlich D. Electrification of a city bus network – An optimization model for cost-effective placing of charging infrastructure and battery sizing of fast-charging electric bus systems, International Journal of Sustainable Transportation, 2017, vol. 11, no. 10, pp. 707-720, doi 10.1080/15568318.2017.1310962.
12. Malyutin P.V. Studencheskiy vestnik, 2025, no. 22-11(355), pp. 52-54.
13. Asoyan A.R., Solntsev A.A., Zimanov L.L., Glushkova Yu.O., Kudryashov D.S., Barteneva G.N. Transportnoye delo Rossii, 2024, no. 2, pp. 83-85.
14. Rogge M., van der Hurk E., Larsen A., Sauer D.U. Electric bus fleet size and mix problem with optimization of charging infrastructure, Applied Energy, 2018, vol. 211, no. 3, pp. 282-295, doi 10.1016/j.apenergy.2017.11.051.
15. An K. Battery electric bus infrastructure planning under demand uncertainty, Transportation Research Part C: Emerging Technologies, 2020, vol. 111, pp. 572-587, doi 10.1016/j.trc.2020.01.009.
16. Trofimenko Yu.V., Filippova R.V., Fen'kov I.A. Mir transporta i tekhnologicheskikh mashin, 2025, no. 2-1(89), pp. 87-92, doi 10.33979/2073-7432-2025-2-1(89)-87-92.

Abstract

The cargo capacity utilization coefficient is one of the technical and operational performance indicators of road freight transport and indirectly determines the cost of transportation; however, for urban small-consignment delivery its empirical estimates on representative datasets are unavailable, and the fleet body-type structure is assigned without a quantitative link to the volume-and-mass characteristics of the freight flow. The aim of the work is to develop a method for assessing rolling stock cargo capacity utilization and assigning loading standards, as well as a procedure for substantiating the fleet structure by body capacity. The method is based on the quantiles of the empirical distribution of the cargo capacity utilization coefficient; it is verified on an open dataset of the actual execution of 6,112 delivery routes in five metropolitan areas (1.46 million cargo items with known dimensions); the differentiation of the indicator is examined by body type, metropolitan area, terminal and number of consignees using Spearman’s rank correlation. The median value of the coefficient is found to be 0.74 (quantiles P10 = 0,55; P90 = 0,95); 9.9 % of the trips are performed with a load above 0.95; the coefficient increases with the number of consignees per route; the between-terminal difference in the share of trips with a limiting load reaches twelvefold; no association between the indicator and route execution quality is found. The obtained standards support the assignment of a target loading range, the selection of the body type by the specific volume of cargo items, and the targeted redistribution of rolling stock between terminals with a cargo capacity deficit.

Keywords: freight transportation, urban delivery, rolling stock, capacity utilization, fleet structure

References

1. Khalturin R.A., Akulov A.A., Taldykin D.S. Transportnoe delo Rossii, 2025, no. 6, pp. 182-186.
2. Karelina M.Yu., Podgornyi A.V., Taldykin D.S. Mir transporta i tekhnologicheskikh mashin, 2025, no. 3-1(90), pp. 100-108, doi 10.33979/2073-7432-2025-3-1(90)-100-108.
3. Karelina M.Yu., Pudalova E.I., Pokrovskaya O.D., Terentyev A.V., Hakimov R.T., Korabelnikov D.V. Transportnoe delo Rossii, 2026, no. 5, pp. 259-263.
4. Kotov A.A., Mazlumyan G.S., Safina L.M. Vestnik Moskovskogo avtomobil'no-dorozhnogo gosudarstvennogo tekhnicheskogo universiteta (MADI), 2026, no. 2(85), pp. 3-14.
5. Bludyan N.O., Stepanov A.A., Ignatova Ya.S., Mal'kova A.V. Transportnoe delo Rossii, 2026, no. 5, pp. 77-79.
6. Lukinskiy V.S., Lukinskiy V.V., Pletneva N.G. Logistika i upravleniye tsepyami postavok (Logistics and Supply Chain Management), Moscow, Izdatel'stvo Yurayt, 2024, 359 p., ISBN 978-5-534-18570-6.
7. Verkhoglyadov S.V., Stankevich D.V., Alekseyev I.P. Vestnik transporta, 2026, no. 5, pp. 35-38.
8. Ostroukh A.V., Podberezkin A.A., Pronin Ts.B., Pospelov P.I., Kotov A.A. Sovremennyye naukoyemkiye tekhnologii, 2026, no. 7, pp. 140-147, doi 10.17513/snt.40869.
9. Vatin N.I., Terentyev A.V., Podgorny A.V., Taldykin D.S. Development of a predictive computational model for traction-dynamic analysis of articulated vehicles, T-Comm, 2026, vol. 20, no. 2, pp. 65-72, doi 10.36724/2072-8735-2026-20-2-65-72.
10. Palamarchuk V.R., Ivakhnenko A. M., Chebotayev A. A. Mir transporta i tekhnologicheskikh mashin, 2026, vol. 24, no. 2(93), pp. 12-18, doi 10.33979/2073-7432-2026-2(93)-12-18.
11. Karelina Ye. A., Pletnev M.G., Merenkov A.O. Nauchno-issledovatel'skiye publikatsii, 2024, no. 3, pp. 7-15.
12. Arifullin I.V., Yevtyukov S.A., Gus'kova O.S. Vestnik Moskovskogo avtomobil'no-dorozhnogo gosudarstvennogo tekhnicheskogo universiteta (MADI), 2026, no. 2(85), pp. 91-99.

Abstract

The article provides an analysis of the proposed objective function, which depends on the efficiency of a mixed-flow vehicle complex, the efficiency of the most automated driving system (ADS) of a highly automated vehicle (HAVs) and the efficiency of the road infrastructure itself. All these subfunctions are necessary to maximize the positive effects of the introduction of HAVs, since the developed modeling methodology will make it possible to evaluate measures and optimize the operation of the transport complex in a mixed flow with the growth and impact of HAVs, without significant investment losses. A modeling chain is described in which three levels of detail interact – nanoscopic, microscopic, and macroscopic. The parameters necessary for the simulation of HAVs at all levels have been determined. Among other things, the metrics that need to be obtained during experiments with functioning HAVs are described in order to accurately simulate its movement and test the proposed solutions when changing the design of streets and roads in cities. This combination of levels will make it possible to evaluate the implementation not only at a specific intersection, but also throughout the entire territory of the city in question.

Keywords: highly automated vehicles (HAVs), transport modeling, macroscopic, microscopic, and nanoscopic modeling, transport infrastructure, traffic management

References

1. Vorob'yev A.I., Golovashin G.E. Vestnik Moskovskogo avtomobil'no-dorozhnogo gosudarstvennogo tekhnicheskogo universiteta (MADI), 2024, no. 4(79), pp. 89-97.
2. Khoury J., Amine K., Saad A. An Initial Investigation of the Effects of a Fully Automated Vehicle Fleet on Geometric Design, Journal of Advanced Transportation, 2019, vol. 1208, p. 6126408, doi 10.1155/2019/6126408.
3. Othman K. Impact of Autonomous Vehicles on the Physical Infrastructure: Changes and Challenges, Designs, 2021, vol. 5, no. 3, p. 40, doi 10.3390/designs5030040.
4. Prieto-Curiel R., Ospina Ju.P. The ABC of mobility, Environment International, 2024, vol. 185, p. 108541, doi 10.1016/j.envint.2024.108541.
5. Zamytskyh A.V., Korovin G.S., Lebedev G.A., Pakhomov S.Y. Practical Examples of Using Highly Automated Vehicles for Transporting Medium-Sized Cargo in High-Conflict Transport and Road Conditions, 2025 Intelligent Technologies and Electronic Devices in Vehicle and Road Transport Complex (TIRVED), Moscow, IEEE, 2025, pp. 1-4, doi 10.1109/TIRVED67702.2025.11367175.
6. Vorobyev A.I., Koveshnikov A.A., Gavrilyuk M.V., Vorobyeva T.V., Morozov D.Yu. Classification of Integration Platforms of Intelligent Transport Systems, Systems of Signals Generating and Processing in the Field of on Board Communications, 2023, vol. 6, no. 1, pp. 525-529, doi 10.1109/IEEECONF56737.2023.10092164.
7. Saberi M., Hamedmoghadam H., Ashfaq M., Hosseini S.A, Gu Z., Shafiei S., Nair D.J., Dixit V., Gardner L., Waller S.T., González M.S. A simple contagion process describes spreading of traffic jams in urban networks, Nature Communications, 2020, vol. 11, no. 1, pp. 1-9, doi 10.1038/s41467-020-15353-2.
8. Yu Q., Wu L., Zhang H., Lei L., Wang Li. The Impact of Automated Vehicles on Road and Intersection Capacity, Applied Sciences (Switzerland), 2023, vol. 13, no. 8, p. 5073, doi 10.3390/app13085073.
9. Algherbal E.A., Ratrout N.T. A Comparative Analysis of Currently Used Microscopic, Macroscopic, and Mesoscopic Traffic Simulation Software, Transportation Research Procedia, 2025, vol. 84, pp. 495-503, doi 10.1016/j.trpro.2025.03.101.
10. Heidary B., Schweizer J., Nguyen N.An., Rupi F., Poliziani C. An Efficient Parallelization of Microscopic Traffic Simulation, Applied Sciences (Switzerland), 2025, vol. 15, no. 13, p. 6960, doi 10.3390/app15136960.
11. Trapeznikova M.A., Chechina A.A., Churbanova N.G. Computational Mathematics and Information Technologies, 2023, vol. 7, no. 2, pp. 60-72, doi 10.23947/2587-8999-2023-7-2-60-72.

Abstract

This article analyses the main approaches to assessing performance in the transport sector, which are essential for effective management of the freight transportation industry within the country’s transport and technological system. The authors examine the current state of the transport services market for cargo transportation, as well as assess the dynamics and structure of such indicators as the volume of cargo transported and cargo turnover. Within the scope of this article, the authors study the key methods for assessing transport performance presented in strategic planning documents and legislative acts, national projects and programmes, as well as scientific works on this topic. The authors identify the main features of performance assessment at the current stage of development and outline areas for improving assessment methods, taking into account the use of modern digital information sources. Freight transport productivity is a criterion of competitiveness. Consequently, research is being conducted to establish an information base regarding transport productivity and to identify the factors influencing this indicator.

Keywords: transport performance, freight transportation, international road freight transport, transport management systems, digital data, transport and logistics system

References

1. Andreev E.O., Zhankaziev S.V., Zyryanov V.V., Pavlov A.S. T-Comm: Telekommunikacii i transport, 2024, vol. 18, no. 1, pp. 38-43, doi 10.36724/2072-8735-2024-18-1-38-43.
2. Vlasov V.M., Filippova N.A. Delovoj zhurnal Neftegaz.RU, 2024, no. 4(148), pp. 52-55.
3. Gorishnyaya A.A., Chmut G.A. Vestnik universiteta, 2021, no. 8, pp. 34-40, doi 10.26425/1816-4277-2021-8-34-40.
4. Komarova E.V., Vlasov A.V. Uchenye zapiski Rossijskoj Akademii predprinimatel'stva, 2019, vol. 18, no. 3, pp. 200-207.
5. Senin I.S., Konovalova T.V., Nadiryan S.L. Gumanitarnye, social'no-ekonomicheskie i obshchestvennye nauki, 2023, no. 1, pp. 198-200, doi 10.23672/SAE.2023.20.17.001.
6. Merenkov A.O. Transportnoe delo Rossii, 2023, no. 1, pp. 62-64, doi 10.52375/20728689_2023_1_62.
7. Vlasov V.M., Ozherel'ev M. Yu., Efimenko D. B. Vestnik Moskovskogo avtomobil'no-dorozhnogo instituta (gosudarstvennogo tekhnicheskogo universiteta), 2005, no. 4, pp. 110-115.
8. Golubchik A.M. Logistika segodnya, 2021, no. 4, pp. 258-264, doi 10.36627/2500-1302-2021-4-4-258-264.
9. Filatov S., Barabanova E., Krutova T., Efimenko D. Analyzing accessibility improvement factors for multimodal transportation in the Arctic, Transportation Research Procedia, Sbornik trudov, St. Petersburg, 2021, pp. 172-178, doi 10.1016/j.trpro.2021.09.039.
10. Yefimenko D.B., Burigin A. A., Shkiperov A. A., Zudina Yu. N. Vestnik Moskovskogo avtomobilno-dorozhnogo gosudarstvennogo tekhnicheskogo universiteta (MADI), 2024, no. 4(79), pp. 55-62.