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AIAA 2020 · Best paper

Urban air mobility at system scale.

Simulation-driven analysis of the fleet, infrastructure, and traffic policies that determine whether an on-demand aerial network can scale.

Vertiport operations model Urban air mobility operational flow through approach, landing, turnaround, and departure stages
03
Explore the system
DomainUrban air mobility
MethodSimulation-driven analysis
MeasuresCapacity + throughput
RecognitionAIAA Best Paper 2020
01 The problem

A vehicle is not an ecosystem.

Operational feasibility in urban air mobility depends on more than aircraft performance. Ground infrastructure, fleet size, turnaround time, traffic separation, demand, and dispatch policies interact as one system of systems.

This work builds an operational model for that ecosystem and probes it across demand profiles and design choices. The goal is not a single forecast, but a map of which decisions materially influence capacity and throughput.

Q / 03
Which design choices actually govern the performance of an on-demand aerial transportation network?
02 The operational model

Model the whole journey.

The analysis follows traffic through arrival separation, approach fixes, landing and takeoff zones, passenger loading, maintenance, charging, turnaround, and departure. Simulation then measures how infrastructure, vehicle, fleet, and management choices affect the network under different demand conditions.

Operational model of a vertiport from arrival traffic through turnaround and departure
Figure 01 / Vertiport operations flowArrival → turnaround → departure
01 / Represent

Model the ecosystem

Ground operations, air traffic, fleet design, and vehicle constraints become one operational simulation.

02 / Stress

Vary demand and design

Scenarios sweep plausible demand profiles and ecosystem parameters to expose bottlenecks and sensitivities.

03 / Measure

Read capacity and throughput

Feasibility and scalability emerge from how many trips the complete system can safely sustain.

03 What it showed

Policy can matter more than hardware.

Once basic infrastructure and fleet choices are sensible, management decisions become the stronger lever.

01 / Robustness

Infrastructure has a workable range

Performance remains relatively robust to ground-infrastructure choices when those choices stay within sensible bounds.

02 / Sensitivity

Management policy drives performance

Fleet and traffic management policies exert a stronger influence on ecosystem capacity and throughput.

03 / Design

Simulation becomes a guideline

The sensitivity analysis supports practical guidance for fleet, vehicle, infrastructure, and operating-policy decisions.

04 / Paper

AIAA Best Paper Award · 2020

Analysis of Fleet Management and Infrastructure Constraints in On-Demand Urban Air Mobility Operations

Sheng Li, M. Egorov, and M. J. Kochenderfer

AIAA AVIATION Forum · 2020