Skip to main navigation Skip to search Skip to main content

Requirements Specification (EU-H2020-Project SlotMachine)

Research output: Working paper and reportsResearch report

Abstract

This Deliverable is part of a project that has received funding from the SESAR Joint Undertaking under grant agreement No 890456 under European Union’s Horizon 2020 research and innovation programme. This document provides the requirements specification related to the SESAR ER4 project SlotMachine. It is recommended to read the upcoming deliverable D2.3 Business Concepts first, before looking into this deliverable D2.1 Requirements Specification. After that it makes sense to read D2.2 System Design Document. SlotMachine employs blockchain technology and secure multi-party computation to extend the existing User-Driven Prioritisation Process (UDPP) solution with the possibility to keep private the participating airlines’ confidential information such as the cost structure of flights. Technology will allow for secure, auditable transactions without the need for a central broker, whereby stakeholders will be able to enter slot swapping transactions without disclosing information to other participants. By demonstrating the feasibility of a privacy-preserving platform for swapping ATFM slots, the foundation can be laid for the development of a product that will be an essential element in the aviation industry in the future. It contributes to better use of existing resources at airports, higher efficiency of airlines, lower emissions, and shorter delays for passengers. Keywords: Air traffic flow management, evolutionary algorithm, genetic algorithm, assignment problem, privacy Technical Report, Projekt SLOTMACHINE, Deliverable D2.1, CORDIS - EU Research Results, Projekt-DOI: https://doi.org/10.3030/890456, 2022. Project on CORDIS: https://cordis.europa.eu/project/id/890456/results/de
Original languageEnglish
PublisherTechnical Report, Projekt SLOTMACHINE, Deliverable D2.1, CORDIS - EU Research Results
Number of pages32
Publication statusPublished - Oct 2022

Fields of science

  • 102 Computer Sciences
  • 102010 Database systems
  • 102015 Information systems
  • 102016 IT security
  • 102025 Distributed systems
  • 102027 Web engineering
  • 102028 Knowledge engineering
  • 102030 Semantic technologies
  • 102033 Data mining
  • 102035 Data science
  • 509026 Digitalisation research
  • 502050 Business informatics
  • 502058 Digital transformation
  • 503008 E-learning

JKU Focus areas

  • Digital Transformation

Cite this