Hackathon tasks

• Train autopilot

  Development and testing of train autopilot systems. Creation and testing of prototypes for automatic train control systems that enhance the safety and efficiency of railway transportation.

  — Human-free locomotive operation;

  — Sending monitoring information to the control center;

  — Capability to perform complex train coupling operations;

  Expected outcome: Relieving the locomotive driver's workload.

   

   

• Chatbots

  Creation of intelligent chatbots capable of providing accurate and timely support to customers, adapting to their needs and preferences. These include:

  — Consultations on routes and ticket availability;

  — Classification of remaining tickets by class (sleeper, coupe, seat), position (upper, lower), and other attributes;

  — Information on the current status of the route (on time, delayed);

  — Information on baggage policy (what is allowed for transport and in what quantity);

  — Ticket purchasing;

  Expected outcome: A chatbot providing all necessary information in a single interface.

• Route planning and tariff setting

  Optimizing routes and tariff formation systems. Applying machine learning algorithms to develop optimal routes and adaptive tariff plans that take into account real-time demand and supply data. Data analysis and providing management solutions for:

  — Launching a new route;

  — Increasing fleet size;

  — Revising tariffs;

  Expected outcome: A ready-to-use tool for additional analysis and decision-making.

• Digital twins

  Creation of digital twins for operational optimization. Development of digital models of railway infrastructure and rolling stock, enabling the analysis and simulation of various operational scenarios in a virtual environment.

  — Real-time viewing of railways;

  — Real-time viewing of rolling stock;

  — Monitoring through a single-window principle;

  Expected outcome: Predictive analytics and rapid response to incidents.

• Predictive analytics

  Using predictive analytics to prevent failures. Development of models that predict potential malfunctions and delays in railway operations, allowing for preemptive measures to be taken.

  — Analysis of the condition of railway tracks and display on a common dashboard;

  — Alerting staff about risks on the railway tracks;

  Expected effect: reduction in the number of route delays due to unforeseen track malfunctions.

• LTE-R technology

  Integration and development of LTE-R technologies to improve railway communication. Development and implementation of LTE-R based solutions aimed at enhancing the stability and safety of mobile communication, which will improve coordination and real-time train management.

  — Ability to connect to the global network from the train;

  — Train communication with the control center;

  Expected effect: Stable communication throughout the train's route.

• Media monitoring

  Development and implementation of a comprehensive monitoring system to track mentions of the company across various information sources, including social media, news portals, forums, and blogs. The system should promptly inform responsible parties about potentially critical mentions and publications related to the company.