Here are some of the current AI research initiatives at Frequentis
Software-defined networking architecture augmented with AI to improve aeronautical communications performance, security, and efficiency.
By harnessing AI, SINAPSE aims to accelerate the transition to intelligent connectivity. Through an IP network that incorporates predictive capabilities, SINAPSE will enable dynamic adjustment of resources and robust protection against digital attacks.
For more details about SINAPSE, visit this link.
- Next Generation Safety (NGS)
Using AI to control air traffic management (ATM) systems.
NGS will focus on employing AI to boost the safety, reliability and efficiency of ATM processes by optimising communications between air traffic controllers and pilots and situational awareness. The project aims to reduce stress and free up time for controllers, liberating them to concentrate in safety-critical, complicated environments.
For more details about NGS, visit these links: internal/ external.
Human-Assisted Real-time Monitoring of infrastructure and obstacles from railway vehicles.
Through HARMONY, Frequentis is participating in the creation of an intelligent monitoring system, which will help operators make decisions around maintenance and impact to operations. The project will process data from sensors and analyse human factors, extracting insights that drive greater system security and user acceptance.
For more details about HARMONY, visit this link.
New data spaces for green mobility - Moving towards mobility-optimised data governance: MobiSpaces delivers an end-to-end mobility-aware and mobility-optimised data governance platform. MobiSpaces uses AI-based mobility analytics to optimise the complete data path and increase energy efficiency, contributing to the Mobility Data Space in support of the European green transition. Frequentis is contributing to the project with VesselEdge, our maritime use case, as Andreas Reisenbauer explains here.
For more details about MobiSpaces, visit this link.
A secure digital marketplace for efficient flight allocation: Cost pressures and ever-increasing passenger demand require airlines to operate as efficiently as possible. An AI-enabled secure digital marketplace could enable different airlines to swap flight slots to achieve such efficiencies, without confidential information being leaked. Frequentis uses the power of AI optimisation algorithms (including a genetic algorithm) to find the best solutions.
For more details about SlotMachine, visit these links: internal/ external.
AI Competence Centre
Supporting increased automation in safety-critical workflows, calculating the best suggestions for controllers or dispatchers, improving the clarity of available data, or detecting anomalies – there is a broad variety of use cases for AI and ML across Frequentis products. Several research projects are already running within the Frequentis Group to enable R&D to use these new technologies; we share the know-how and data across the Group through our AI Competence Centre.