Solving the Vertiport Gridlock Conundrum with Mixed-Integer Linear Programming

Dense metropolitan skies can create massive air-ground bottlenecks at urban vertiports. We present a globally optimal mathematical framework for simultaneous arrival, charging, and departure sequencing.

Formulating the Joint Air-Ground UAM Optimization Problem

By framing aircraft arrival times, landing pad assignments, rapid-charging sessions, and passenger connections as an integrated Mixed-Integer Linear Program (MILP), the solver delivers proven conflict-free schedules in under 1.2 seconds.

Benchmark Performance Across 20-Pad Metropolitan Networks

Simulation of a peak morning rush hour across New York and London regional vertiports demonstrated an 89% reduction in ground delay compared to traditional first-come first-served sequencing.

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