UDK: 629.053

Igor N. Dorofeev - Candidate of Law, Associate Professor, Associate Professor of the Department of Legal Support of National Security The Russian Presidential Academy of National Economy and Public Administration (RANEPA), Moscow, Russia

Alina An. Prokudina - Institute of Law and National Security, The Russian Presidential Academy of National Economy and Public Administration (RANEPA), Moscow, Russia

Abstract. The current paper has considered the urgent issues of implementing autopilot systems in rail transport in the context of creating special legal regimes, as well as implementing tools used in risk management. The specifics of using these mechanisms became the subjects of the current study. There has been paid attention to the current legal acts defining the status of artificial intelligence systems, as well as the rules for its use in freight and passenger transportation using the example of the work of JSC “Russian Railways”. There have been considered various levels of automation of the rolling stock of the train, as well as the role of the locomotive crew in monitoring the operation of the train equipped with an autopilot system. There has been concluded that the use of artificial intelligence systems in rail transport is still “conditional” in nature, since control over the choice of certain decisions made by an autopiloted vehicle is carried out by a person. In the context of legal support for the process of using unmanned vehicles in the railway industry, it is important to implement the “risk compliance” method, based on the development and implementation of local (internal) regulations, compliance with legislation and the prevention of various risks and threats, which is an extremely urgent issue in the context of real, potential and probable risks in the industry, as well as the introduction of risk-oriented approach methods when organizing the work of employees with systems equipped with artificial intelligence.

Keywords: highly automated vehicle; unmanned transport; transport infrastructure; rail transport; risk-oriented approach; risk compliance.

References:

1. Iroshnikov, D. V. Teoreticheskiye problemy legal'nogo opredeleniya transportnoy bezopasnosti i smezhnykh s ney kategoriy [Theoretical problems of the legal definition of transport security and related categories] / D. V. Iroshnikov // Voprosy bezopasnosti. 2020. №1. URL: https://cyberleninka.ru/article/n/teoreticheskie-problemy-legalnogo-opredeleniya-transportnoy-bezopasnosti-i-smezhnyh-s-ney-kategoriy (data obrashcheniya: 7 fevralya 2025 g.).
2. Popov, P. A. Bespilotnyye poyezda: osnovnyye printsipy raboty [Driverless trains: basic principles of operation] / P. A. Popov // Zheleznodorozhnyy transport. — 2019. — № 8. — S. 36―38.
3. Aleynikov, A. A. Analiz metodov vybora kratchayshego puti peredachi potokov informatsii [Analysis of methods for selecting the shortest path for transmitting information flows] / A. A. Aleynikov // Spetsial'naya tekhnika i tekhnologii transporta. — 2022. — № 14. — S. 247―251.
4. Koroleva, Ye. G. Sovremennoye sostoyaniye pravovogo regulirovaniya bespilotnykh transportnykh sredstv v Rossii i analiz zarubezhnogo opyta [Current state of legal regulation of unmanned vehicles in Russia and analysis of foreign experience] / Ye. G. Koroleva // Kriminologicheskiy zhurnal. 2021. №2. URL: https://cyberleninka.ru/article/n/sovremennoe-sostoyanie-pravovogo-regulirovaniya-bespilotnyh-transportnyh-sredstv-v-rossii-i-analiz-zarubezhnogo-opyta (data obrashcheniya: 7 fevralya 2025 g.).
5. Loginova, L. N. Metodika sostavleniya raspisaniya dvizheniya poyezdov dlya stolichnogo metropolitena [Methodology for drawing up a train schedule for the capital's metro] / L. N. Loginova, Ye. A. Seslavina, A. I. Seslavin // Avtomatika na transporte. ― 2022. ― № 1. URL: https://cyberleninka.ru/article/n/metodika-sostavleniya-raspisaniya-dvizheniya-poezdov-dlya-stolichnogo-metropolitena (data obrashcheniya: 12 fevralya 2025 g.).

Download article: PDF file

For citation: copy to clipboard

Dorofeev I.N., Prokudina A.A. Urgent legal regulation issues of the use of unmanned transport in the railway industry // Transport law and security. 2025; (2(54)):22―31.