Published on: 2026-04-06
Source: Novosibirsk State University –
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Novosibirsk State University has signed an agreement with Novosibirsk Metro on the development of an automated system for planning the work of locomotive crews using artificial intelligence technologies. The project will become part of a broader program for implementing digital solutions in urban infrastructure.
The development will be handled byResearch Center in the Field of Artificial Intelligence (AI Center) NSU, which has been implementing projects in the field of “smart city” for several years. The new system should help the subway automate the scheduling and adjustment of employee work shifts, reduce the load on the dispatch services, and increase the efficiency of personnel management.
—The main goal of our work is the creation of intellectual systems for managing urban infrastructure. We are already implementing solutions in the fields of heat supply, medicine, transport, ecology, security, and now we are beginning cooperation with the metro., — explained the head of the Center for Information Security of the National Guard of UkraineAleksandr Lyulko.Â
According to him, it is about creating a digital assistant that will analyze a set of parameters — from train movement schedules to employee workloads — and suggest optimal shift distribution options.
— This will allow optimizing work, reducing time costs, and increasing the overall efficiency of processes,— he emphasized.
Systems of this class solve one of the key tasks of large organizations — competent management of human resources. In the transport sector, this is especially important: it is necessary to take into account work and rest regimes, employee qualifications, changes in schedules, and off-schedule situations. Artificial intelligence is capable of processing such data in real time and quickly recalculating schedules, which is very difficult to do manually without loss of quality.
Moreover, the use of AI allows for a more even distribution of workload among employees, reduces the risk of errors, and increases the level of security. In the future, such solutions may be integrated with other digital metro systems — for example, passenger flow monitoring or security systems.
The project is considered a pilot, but the developers initially lay the groundwork for its scalability.
—We create all our solutions taking into account that they can be adapted for other organizations,— toldAlexander Lyulko.
According to him, similar systems may be in demand not only in the metro systems of other cities, but also generally in the transport sector.
Cooperation between NGU and the metro became a logical continuation of previously reached agreements on the implementation of artificial intelligence technologies in the urban environment. Thus, the parties discussed projects related to improving safety at stations, intelligent video surveillance, and passenger flow analysis. Promising directions also include the implementation of unmanned technologies and the development of digital infrastructure management services.
As noted at the university, the key task of such projects is to bring scientific developments to the level of specific technological solutions demanded by industrial partners. Metropoliten, in turn, sees itself as a pilot site, whose experience can later be scaled to other cities in Russia.
Work on creating a system for planning locomotive crew schedules must be completed within the current year. This project will become the first step in a broader program for the digital transformation of the Novosibirsk metro using artificial intelligence technologies.
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