About the authors
| First name, Middle name, Last name, Scientific degree, Scientific rank, Current position. Full and brief name of the organization, The organization address. | Dmitry S. Martyakhin, candidate of technical sciences, associate professor, Moscow Automobile and Road Construction State Technical University, Moscow; Senior Research Scientist at the Youth laboratory “Intelligent systems for managing the development of urban road and street networks”, North Caucasus Mining and Metallurgical Institute (GTU), Vladikavkaz, Russian Federation E-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it , ORCID: 0000-0001-7322-5049. Sergey V. Ovchinnikov, Chief Specialist, Genplan Institute of Moscow, Moscow, Russian Federation Tatiana K. Komarova candidate of technical sciences, associate professor, Moscow Automobile and Road Construction State Technical University, Moscow; Junior Research Scientist at the Youth laboratory “Intelligent systems for managing the development of urban road and street networks”, North Caucasus Mining and Metallurgical Institute (GTU), Vladikavkaz, Russian Federation E-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it , ORCID: 0009-0005-5711-4548. Nina T. Dedegkaeva, candidate of technical sciences, Senior Research Scientist at the Youth laboratory “Intelligent systems for managing the development of urban road and street networks”, North Caucasus Mining and Metallurgical Institute (GTU), Vladikavkaz, Russian Federation E-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it , ORCID: 0000-0002-7044-8850. Astemir M. Tlekhugov, Junior Research Scientist at the Youth laboratory “Intelligent systems for managing the development of urban road and street networks”, North Caucasus Mining and Metallurgical Institute (GTU), Vladikavkaz, Russian Federation E-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it , ORCID: 0009-0004-4175-1078. |
| Title of the article | Development of a method for assessing the level of comfort of movement when driving a car |
| Abstract. | Problem statement. The current global trend in assessing the quality of road network services includes a multimodal or comprehensive approach that takes into account the needs of all road users. This approach can be applied at the design level of individual elements or segments of the road network to determine their functional goals, such as increasing the capacity of lanes, street and road segments, and their intersections. This information can influence users decisions about the mode of transportation, such as preferring public transport or cycling over a private car. The purpose of this study is to develop a method for assessing the level of comfort of movement when driving a car. It is proposed to use machine learning models to determine the final assessment of comfort of movement. The objectives of the study are to take into account the qualitative and quantitative characteristics of vehicle movement parameters, to take into account their significance for users based on the results of a sociological study, and to assess the level of comfort of movement using mathematical models, including the use of machine learning methods. The results of the study allowed us to assess the level of comfort of movement from the users perspective, taking into account the selected indicators, to propose mathematical models for determining the level of comfort of movement, taking into account the actual indicators and weight coefficients that reflect the significance of the road network for the user, and to determine the level of comfort of movement for the observed objects using the proposed methodology. |
| Keywords. | service level, comfort of movement, traffic quality, passenger car, transport |
| For citations: | Martyakhin D.S., Ovchinnikov S.V., Komarova T.K., Dedegkaeva N.T., Tlekhugov A.M. Development of a method for assessing the level of comfort of movement when driving a car // News of KSUAE, 2025, № 4 (74), p. 229-238, DOI: 10.48612/NewsKSUAE/74.20, EDN: SZTIHU |
