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UAM-SUMO: Simulacra of Urban Air Mobility Using SUMO to Study Large-Scale Effects

Colley, Mark; Czymmeck, Julian; Jansen, Pascal; Meinhardt, Luca-Maxim; Ebel, Patrick; Rukzio, Enrico; (2025) UAM-SUMO: Simulacra of Urban Air Mobility Using SUMO to Study Large-Scale Effects. In: 2025 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI). (pp. pp. 1000-1004). IEEE: Melbourne, Australia. Green open access

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Abstract

Urban Air Mobility (UAM) emerges as a potential solution to urban congestion. However, as it lacks integration with existing transportation systems, methods to study its impact are necessary. Traditional empirical approaches are insufficient to study large-scale effects in this not-yet-real context. We developed UAM-SUMO, an extension of the SUMO simulation platform, to simulate the impact of UAM on public transportation, particularly how air taxis affect traffic flow and mode choices. We detail the modifications to SUMO and the UAM operation parameters. We open-source our code at https://github.com/M-Colley/uam-sumo and present a proof-of-concept data collection and analysis for Ingolstadt, Germany.

Type: Proceedings paper
Title: UAM-SUMO: Simulacra of Urban Air Mobility Using SUMO to Study Large-Scale Effects
Event: 2025 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI)
Dates: 4 Mar 2025 - 6 Mar 2025
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/hri61500.2025.10973993
Publisher version: https://doi.org/10.1109/hri61500.2025.10973993
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Codes, Human-robot interaction, Data collection, Public transportation
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10208794
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