The article analyzes the current state and development trends of charging infrastructure for electric vehicles. The object of study is the need for charging infrastructure in Moscow, expressed in the number of electric charging stations (ECS) and the zonal distribution of installed capacities. A forecast model of the charging infrastructure requirements in Moscow for the period from 2025 to 2035 has been developed. The formulated model enables forecasting of the total required number and distribution of fast and slow ECS across city districts. The total required number of ECS in Moscow will reach 55,900 units by 2035 according to the baseline forecast scenario, with slow ECS being the   predominant type. The model represents a significant tool for strategic planning and development of infrastructure for electric vehicles. The obtained forecast data contribute to long-term planning of electrical capacity requirements in Moscow districts.

This article analyzes safety issues concerning cyclists and personal mobility device (PMD) users in Russia and European countries. The topic’s relevance stems from the growing popularity of bicycles and PMDs, leading to increased conflicts between various road users, particularly in major cities where accident rates involving PMDs have risen significantly. The research is based on analysis of official traffic accident statistics and European countries’ experience in implementing comprehensive measures to improve safety for PMD and bicycle users. The study examines international experience in implementing comprehensive measures, including speed restrictions in urban areas, increased funding for safe infrastructure, and implementation of educational programs. A comprehensive approach through the development of a National Cycling Development Strategy represents a key factor in improving safety and promoting bicycle and PMD use, as confirmed by the successful experience of European countries where such strategies contribute to increasing the proportion of the population preferring alternative mobility options.

This paper deals with the methodology and experiment planning to evaluate the fire resistance of compressed members made of lightweight high-strength concrete. Lightweight high-strength concrete is an innovative construction material that combines high strength and low density, which makes it extremely promising for use in various structures. However, its behavior when exposed to high temperatures remains poorly understood. The paper describes key aspects of experiment planning, including the selection of test methods, specimen preparation, and determination of loading and temperature parameters. Particular attention is paid to the methods of measurement and data analysis, which allow estimation of changes in the mechanical properties of the material when exposed to fire. The results of the study have important implications for the development of regulations and standards, as well as for improving the safety of building structures under fire conditions.

The analysis of current trends in ensuring engineering stability during the construction and reconstruction of embankments of transport infrastructure, taking into account the weak underlying layer, is carried out. The results of solving two geotechnical problems for transport embankments with and without the underlying layer are presented. A calculation was performed in the MIDAS GTS NX PC and a numerical analysis of the filtration, stability and consolidation of the embankment during the reconstruction of transport territories, composed of three layers of a soil massif and a dam, which also consists of three layers with a clay core and drainage on the right side in the lower reaches and an embankment limited by the design stability of the retaining wall and from the existing building — sheet pile Larsen.

The article considers the issues of application of artificial intelligence technologies for design tasks of transport infrastructure objects. The review of scientific literature, regulatory documentation, as well as information about commercial products in this field is carried out. It is concluded that the basis of modern and future approach to design is information modelling technologies (BIM), and artificial intelligence tools today complement them, solving individual problems. The analysis of factors hindering the introduction of artificial intelligence technologies into design processes has shown that the development and implementation of a tool capable of automatically generating a complex design solution is an extremely difficult task. The introduction of highly specialized tools based on artificial intelligence for existing processes can be justified if it allows to quickly obtain a significant effect. The greatest effect of introducing artificial intelligence technologies in design can only be achieved in synergy with the transition to information modelling.

This article addresses the application of artificial intelligence (AI) in the evaluation of research and development (R&D) results. The authors examine contemporary challenges related to enhancing the efficiency and systematization of expert evaluation activities, as well as issues concerning the acceleration of innovation implementation in the transportation sector. The article analyzes existing digital expert systems, their capabilities and limitations, and the prospects for utilizing AI technologies to automate and improve the quality of R&D evaluation. The authors emphasize that integrating AI into expert evaluation processes can reduce time and financial expenditures while enhancing the quality and objectivity of expert conclusions. The practical significance of this research lies in the development of recommendations for improving expert evaluation activities through the integration of modern digital technologies and AI

This article examines current issues in the innovative development of Moscow’s transport complex. It is noted that innovation plays a key role in the economy of any country. The nature of economic development depends on the volume of investments in innovation, their accessibility and regularity, the effectiveness of the innovation market infrastructure, and the favorable legislation regulating innovative activities. The article highlights the role of the state and constituent entities of the Russian Federation in the development of innovations. It emphasizes that attracting investments in innovative projects is an essential task for both individual business entities and the region as a whole. The program for the development of Moscow transport is examined in detail, and the main elements of its innovative development are identified.  The article provides a description of innovative projects implemented in recent years in Moscow’s transport system.

The article analyzes the economic efficiency of implementing eco-friendly transport in Uzbekistan, considering global trends and international experience. It examines government incentives for electric vehicle adoption, including tax benefits, the development of charging infrastructure, and localization of production. The study presents the dynamics of electric vehicle imports, an assessment of CO₂ emission reductions, and socio-economic benefits. Key areas for further development are highlighted, including the integration of renewable energy sources and the improvement of public transport. The author concludes that the «green» transport transition is highly economically justified and emphasizes Uzbekistan’s potential in this direction.

Development of the transport complex forms the foundation for sustainable and efficient territorial development, ensuring the achievement of key socioeconomic development goals for the country. The implementation of innovations allows for reducing operational costs and increasing the competitiveness of the transport system. A comprehensive evaluation system for transport complexes’ innovative development enables assessment of policy implementation success, as well as identification of problems and risks associated with the introduction of new technologies. The developed methodology includes 24 indicators across 5 evaluation areas: innovative technologies in public transport, innovative solutions for traffic management, digital solutions in transport security, environmental solutions for transport, and digital solutions in automotive transport. Based on the evaluation results, regions were divided into 3 categories. The leading positions were taken by Moscow, Saint Petersburg, and Murmansk Oblast.