Home▸Aerospace Engineering & Orbital Mechanics▸Planning Urban Air Mobility: Vertiport Throughput, Fleet Sizing, and Charging Demand

🚁 Planning Urban Air Mobility

An interactive 3D vertiport where eVTOL air-taxis land, fast-charge, and depart — tune passenger demand, pad count, charger power, and dwell time to see queues and throughput respond live.

Aerospace Engineering & Orbital Mechanics3DAdvanced60 FPS💨 Air & Wind

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.

🔬 What It Demonstrates

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.

🎮 How to Use

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.

💡 Did You Know?

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.

⚙ Under the hood

An interactive 3D vertiport where eVTOL air-taxis land, fast-charge, and depart — tune passenger demand, pad count, charger power, and dwell time to see queues and throughput respond live.

eVTOLVertiportAir TaxisUrban Air MobilityCharging InfrastructureFleet ManagementThree.js

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install