Transportation

SENSUM

SENSUM is the first Polish system of the DAS (Driver Advisory System) class, supporting train engineers in efficient train operation by dynamically displaying recommendations for optimal vehicle speed. The system is implemented using big-data technologies and is based on communication between onboard terminals and a central system. Artificial intelligence (AI) algorithms are utilized within the system to enhance recommendation accuracy and to detect changes and events in the railway network that affect train operation. Developed for PGE Energetyka Kolejowa, SENSUM has undergone a series of successful operational tests and is being jointly implemented in the Polish railway market.

Features

  • Terminal autonomy in providing recommendations, including offline capability
  • Increased situational awareness for the engineer
  • Intuitive interface compliant with UIC-612 standard
  • Efficient driving regardless of conditions

Technologies

  • Data warehouses and big-data processing platform
  • Network-subscribed technologies
  • Centralized streaming technologies
  • Multi-layer data security technologies
  • Specialized simulation solution
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ECODRIVING

The ECODRIVING system is an advanced Business Intelligence (BI) system that integrates data sources within a railway carrier, enabling precise measurement of train energy consumption. This facilitates the implementation of eco-driving initiatives and a motivational program for engineers linked to efficient driving practices, leading to energy savings of up to 10% in traction energy. The system has been successfully deployed in the Łódź Metropolitan Railway and the Warsaw Fast Urban Railway.

Key features

Quick deployment

Intuitive web interface for engineers, instructors, and management

Support for incentive programs based on achieved savings

Technologies

Bootstrap

Django

Data Fabric

MapR-DB

ECOSAFE

Our simulator has traveled the world with us. Its successive versions have visited India, Berlin, and Gdańsk. It has permanently settled in Toruń and Kraków. Its assistance has been invaluable in the SENSUM projects and R&D projects.

Features

  • Mobile
  • Compact size
  • Multiple construction variants
  • Used for professional training
  • Continuously expanding route database
  • No need for room adaptations

Technologies

Unity

Django

MQTT

Unipi

Raspberry Pi

GEMINI

A research project resulting in the development of algorithms for determining recommended travel profiles in rail traffic. These allowed the construction of a travel assessment system and support for incentive programs. The system is intended for both meter reading settlement systems and models integrated with the SENSUM system (Ecodriving based on dynamic cabin recommendations).

Features

  • Parallel processing of many design and optimization tasks
  • High performance of routing processes
  • Open architecture and high scalability

Technologies

Python

Django

Postgresql

Spark

Kafka