The purpose of this research is to analyze digital technologies for managing electric transport, with a focus on their efficiency, safety, and integration into urban infrastructure, and to develop a digital control system for electric transport. The authors propose a concept of a digital management system characterized by the creation of a corporate digital control environment based on Internet of Things (IoT) technologies, artificial intelligence (AI), big data analytics, and intelligent control systems, coordinated by the Situation and Information Center of the Ministry of Transport of the Russian Federation. The methodological framework includes systems, comparative, and structural-functional analysis, as well as modeling. Key directions and challenges of digitalization in the Russian transport sector have been identified, including technological dependence on imports, regional disparities, and low digital literacy. The study presents a model of a digital control system for electric transport, incorporating real-time monitoring, predictive maintenance, adaptive traffic management, and cybersecurity. Special attention is given to the principles of Industry 5.0, particularly sustainability and human-centricity. The study concludes that a comprehensive approach integrating technological, organizational, and educational measures is required for the effective implementation of digital management systems in electric transport across Russia.
Кетоева et al. (Thu,) studied this question.