Estimating UAM network load with traffic data for munich

Magdalena Peksa; Klaus Bogenberger

doi:10.1109/DASC50938.2020.9256525

Estimating UAM network load with traffic data for munich

Magdalena Peksa, Klaus Bogenberger

Lehrstuhl für Verkehrstechnik

Technische Universität München

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

4 Zitate (Scopus)

Abstract

Urban Air Mobility (UAM) is believed to enhance the competitiveness of public transport. However, a UAM service has not been yet implemented, therefore, a possible network load (the number of passengers sharing the airspace) is not known. We designed a UAM network in Munich and its surrounding areas and created a base scenario with a UAM service being a part of the public transportation system. We simulated one day of commuter travelling in the PTV-Visum planning software. We estimated the average of 633 passenger trips per each UAM link. Additionally, we created 2 sets of modifications, which included fare and comfort parameters. Introducing UAM had a positive impact on the Bavarian network. Our results suggested that the cost of the UAM service has a significant influence on the passenger volumes.

Originalsprache	Englisch
Titel	DASC 2020 - 39th Digital Avionics Systems Conference, Proceedings
Herausgeber (Verlag)	Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)	9781728198255
DOIs	https://doi.org/10.1109/DASC50938.2020.9256525
Publikationsstatus	Veröffentlicht - 11 Okt. 2020
Veranstaltung	39th AIAA/IEEE Digital Avionics Systems Conference, DASC 2020 - Virtual, San Antonio, USA/Vereinigte Staaten Dauer: 11 Okt. 2020 → 16 Okt. 2020

Publikationsreihe

Name	AIAA/IEEE Digital Avionics Systems Conference - Proceedings
Band	2020-October
ISSN (Print)	2155-7195
ISSN (elektronisch)	2155-7209

Konferenz

Konferenz	39th AIAA/IEEE Digital Avionics Systems Conference, DASC 2020
Land/Gebiet	USA/Vereinigte Staaten
Ort	Virtual, San Antonio
Zeitraum	11/10/20 → 16/10/20

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@inproceedings{218798995f9946638e849ae023498308,

title = "Estimating UAM network load with traffic data for munich",

abstract = "Urban Air Mobility (UAM) is believed to enhance the competitiveness of public transport. However, a UAM service has not been yet implemented, therefore, a possible network load (the number of passengers sharing the airspace) is not known. We designed a UAM network in Munich and its surrounding areas and created a base scenario with a UAM service being a part of the public transportation system. We simulated one day of commuter travelling in the PTV-Visum planning software. We estimated the average of 633 passenger trips per each UAM link. Additionally, we created 2 sets of modifications, which included fare and comfort parameters. Introducing UAM had a positive impact on the Bavarian network. Our results suggested that the cost of the UAM service has a significant influence on the passenger volumes.",

keywords = "Traffic simulation, Transport planning, Urban air mobility",

author = "Magdalena Peksa and Klaus Bogenberger",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 39th AIAA/IEEE Digital Avionics Systems Conference, DASC 2020 ; Conference date: 11-10-2020 Through 16-10-2020",

year = "2020",

month = oct,

day = "11",

doi = "10.1109/DASC50938.2020.9256525",

language = "English",

series = "AIAA/IEEE Digital Avionics Systems Conference - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "DASC 2020 - 39th Digital Avionics Systems Conference, Proceedings",

}

Peksa, M & Bogenberger, K 2020, Estimating UAM network load with traffic data for munich. in DASC 2020 - 39th Digital Avionics Systems Conference, Proceedings., 9256525, AIAA/IEEE Digital Avionics Systems Conference - Proceedings, Bd. 2020-October, Institute of Electrical and Electronics Engineers Inc., 39th AIAA/IEEE Digital Avionics Systems Conference, DASC 2020, Virtual, San Antonio, USA/Vereinigte Staaten, 11/10/20. https://doi.org/10.1109/DASC50938.2020.9256525

Estimating UAM network load with traffic data for munich. / Peksa, Magdalena; Bogenberger, Klaus.
DASC 2020 - 39th Digital Avionics Systems Conference, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. 9256525 (AIAA/IEEE Digital Avionics Systems Conference - Proceedings; Band 2020-October).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Estimating UAM network load with traffic data for munich

AU - Peksa, Magdalena

AU - Bogenberger, Klaus

PY - 2020/10/11

Y1 - 2020/10/11

N2 - Urban Air Mobility (UAM) is believed to enhance the competitiveness of public transport. However, a UAM service has not been yet implemented, therefore, a possible network load (the number of passengers sharing the airspace) is not known. We designed a UAM network in Munich and its surrounding areas and created a base scenario with a UAM service being a part of the public transportation system. We simulated one day of commuter travelling in the PTV-Visum planning software. We estimated the average of 633 passenger trips per each UAM link. Additionally, we created 2 sets of modifications, which included fare and comfort parameters. Introducing UAM had a positive impact on the Bavarian network. Our results suggested that the cost of the UAM service has a significant influence on the passenger volumes.

AB - Urban Air Mobility (UAM) is believed to enhance the competitiveness of public transport. However, a UAM service has not been yet implemented, therefore, a possible network load (the number of passengers sharing the airspace) is not known. We designed a UAM network in Munich and its surrounding areas and created a base scenario with a UAM service being a part of the public transportation system. We simulated one day of commuter travelling in the PTV-Visum planning software. We estimated the average of 633 passenger trips per each UAM link. Additionally, we created 2 sets of modifications, which included fare and comfort parameters. Introducing UAM had a positive impact on the Bavarian network. Our results suggested that the cost of the UAM service has a significant influence on the passenger volumes.

KW - Traffic simulation

KW - Transport planning

KW - Urban air mobility

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DO - 10.1109/DASC50938.2020.9256525

M3 - Conference contribution

AN - SCOPUS:85097975842

T3 - AIAA/IEEE Digital Avionics Systems Conference - Proceedings

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T2 - 39th AIAA/IEEE Digital Avionics Systems Conference, DASC 2020

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Estimating UAM network load with traffic data for munich

Abstract

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