Stammdaten

Adaptive Access Management for Cabin-based Transport Systems
Beschreibung:

A novel approach for passenger access to cabin-based public transport
systems has recently been tested in the eld. It employs a boarding gate displaying the number of passengers that is foreseen for the next cabin. The idea behind this approach is to balance the load on cabins and to leave space for passengers waiting at intermediate boarding points. The solution received very positive feedback from passengers and transport system operators. Deductively, it has the potential to improve both throughput and passenger comfort. From a scientic point of view, the
system is a queueing network with several queues at dierent points in space. The objective of this two-year project is to improve the system performance by making the access management adaptive to the passenger load over time. For this purpose, centralized and decentralized algorithms computing the desired passenger number
at all boarding gates will be developed based on an industry-driven specification of requirements and a comprehensive system model. The algorithms will be evaluated by simulation and tested in a real boarding gate in the eld. The interdisciplinary project team covers a broad spectrum of expertise, including logistics, networked systems, and queuing theory. The industrial partner SKIDATA is a world-wide leading provider of access systems.

Schlagworte: queueing systems, simulation, cabin-based transport systems, adaptive system
Kurztitel: AMACAT
Zeitraum: 01.03.2016 - 31.05.2018
Kontakt-Email: gerald.reiner@aau.at
Homepage: https://www.aau.at/oee

MitarbeiterInnen

MitarbeiterInnen Funktion Zeitraum
Gerald Reiner (intern)
  • Antragsteller/in
  • Projektleiter/in
  • 01.03.2016 - 31.05.2018
  • 01.03.2016 - 31.05.2018
Bernhard Oberegger (intern)
  • wiss. Mitarbeiter/in
  • 01.04.2016 - 31.03.2018
Boualem Rabta (intern)
  • wiss. Mitarbeiter/in
  • 25.11.2016 - 31.05.2018
Christian Bettstetter (intern)
  • wiss. Mitarbeiter/in
  • 01.11.2016 - 31.05.2018
Pasquale Grippa (intern)
  • wiss. Mitarbeiter/in
  • 01.11.2016 - 31.05.2018

Kategorisierung

Projekttyp Forschungsförderung (auf Antrag oder Ausschreibung)
Förderungstyp §27
Forschungstyp
  • Grundlagenforschung
  • Angewandte Forschung
Sachgebiete
  • 502017 - Logistik
  • 102009 - Computersimulation
Forschungscluster
  • Selbstorganisierende Systeme
Genderrelevanz Genderrelevanz nicht ausgewählt
Projektfokus
  • Science to Science (Qualitätsindikator: III)
Arbeitsgruppen Keine Arbeitsgruppe ausgewählt

Finanzierung

Kooperationen

Organisation Adresse
Lakeside Labs GmbH
Lakeside Science & Technology Park
9020  Klagenfurt
Österreich
Lakeside Science & Technology Park
AT - 9020  Klagenfurt
SKIDATA AG
Untersbergstrasse 40
5083  Gröding/Salzburg
Österreich
Untersbergstrasse 40
AT - 5083  Gröding/Salzburg