Planning an eVTOL air-taxi network is fundamentally a queuing and energy problem: how many landing pads does a vertiport need, how long does each aircraft occupy a pad, and how much fast-charging power must be installed so the fleet can turn around fast enough to meet passenger demand? This lab renders a rooftop vertiport where eVTOLs land, board/deplane passengers, fast-charge, and depart — so you can see queues form the moment demand outruns capacity.
Real UAM planning studies (e.g. NASA and Joby/Uber Elevate work) suggest a single well-charged vertiport pad can realistically turn 4–8 flights per hour — meaning a busy downtown vertiport may need several pads plus megawatt-class charging infrastructure just to match the throughput of one curbside taxi rank.
A rooftop vertiport where eVTOL air-taxis fly in, land, fast-charge, and depart — watch queues form the moment scheduled demand outruns pad throughput and charging capacity.
Turnaround time is boarding dwell plus charge time (energy needed ÷ charger power). Pad throughput scales inversely with turnaround, and utilization above 100% sends aircraft into a visible holding stack.
Set passenger demand, pad count, charger power, and boarding dwell. Watch the live stats and the 3D vertiport — more demand or fewer pads/chargers means longer holding queues overhead.
Industry UAM studies estimate a single vertiport pad can turn roughly 4–8 flights per hour — so a busy downtown hub needs several pads plus megawatt-class charging just to match one taxi rank.