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  2. MAM : Machine-managed Air Mobility in Swiss Upper Airspace MAM : Machine-managed Air Mobility in Swiss Upper Airspace

MAM : Machine-managed Air Mobility in Swiss Upper Airspace

This project aims at developing new AI algorithms tomanage traffic flows for an autonomous air traffic controlinsuring safe separation between aircrafts in high-densitySwiss Upper Airspace.

Brief information

School:

Computer Science and Information Technology

Status:

Completed

Period:

15.03.2020 - 31.12.2022

Overview

In order to comply with future traffic demand, innovative solutions have to be explored to increase traffic
flows into the Swiss Upper Airspace as the first proof of concept and then extended to some other aviation
stakeholders on other airspaces. They should go beyond the current efforts to optimize the current way to
manage air mobility and this is the business goal intended by the proposed initiative.
The project will establish new principles to manage traffic flows in a totally new supported, potentially even
automated way counting on machine decisions produced by algorithms derived from research on Artificial
Intelligence.

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Facts

Type of project

Forschung

Internal organisations involved
  • Algorithmic Business F&E
Funding
  • Innosuisse - HSLU als Hauptforschungspartnerin (Main Research Partner)
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Persons involved: internal

Project manager
  • Thomas Koller
Member of project team
  • Andrin Bürli
  • Pascal Wullschleger

Brief information

School:

Computer Science and Information Technology

Status:

Completed

Period:

03/15/2020 - 12/31/2022

Project Head

Prof. Dr. Thomas Koller

Head of the Master's Program in Engineering

+41 41 757 68 32

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