Demand-Driven Vertiport Siting and Discrete-Event Fleet Simulation for On-Demand Urban Air Mobility Network Design

[2608.14974] Demand-Driven Vertiport Siting and Discrete-Event Fleet Simulation for On-Demand Urban Air Mobility Network Design Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Computer Science > Artificial Intelligence arXiv:2608.14974 (cs) [Submitted on 15 Aug 2026] Title: Demand-Driven Vertiport Siting and Discrete-Event Fleet Simulation for On-Demand Urban Air Mobility Network Design Authors: Hossein Z. Saghazadeh , Yonas Ayalew , Reza Ahmari , Parham Kebria , Abdollah Homaifar View a PDF of the paper titled Demand-Driven Vertiport Siting and Discrete-Event Fleet Simulation for On-Demand Urban Air Mobility Network Design, by Hossein Z. Saghazadeh and 4 other authors View PDF HTML (experimental) Abstract: This paper presents a demand-driven framework for on-demand Urban Air Mobility (UAM) network design that links vertiport siting, fleet simulation, and door-to-door travel-time feasibility. Demand is estimated from commuter and passenger activity data, converted into spatial trip-end points, and clustered using K-means to generate candidate vertiport locations. Candidate networks are screened using range and minimum station-spacing constraints, then evaluated with a discrete-event simulation that models multi-vehicle dispatch, deadhead relocation, battery swaps, and service regularity. Flight time and energy consumption are computed using a point-mass eVTOL performance model. In a Greater Los Angeles case study, the preferred design expands from four stations and four eVTOLs at low demand to sixteen stations and twelve eVTOLs at the highest tested demand level. Results show that larger fleets improve completion time and vehicle-arrival regularity but do not eliminate deadhead flights, indicating that spatial demand imbalance remains an operational burden. The travel-time savings analysis further suggests that UAM is most defensible for longer or congestion-heavy trips where sufficient non-flight time remains after accounting for flight time. Comments: Accepted for presentation at the 2026 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2026) Subjects: Artificial Intelligence (cs.AI) ; Systems and Control (eess.SY) Cite as: arXiv:2608.14974 [cs.AI] (or arXiv:2608.14974v1 [cs.AI] for this version) https://doi.org/10.48550/arXiv.2608.14974 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Hossein Zamani Saghazadeh [ view email ] [v1] Sat, 15 Aug 2026 01:57:31 UTC (5,668 KB) Full-text links: Access Paper: View a PDF of the paper titled Demand-Driven Vertiport Siting and Discrete-Event Fleet Simulation for On-Demand Urban Air Mobility Network Design, by Hossein Z. 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