Agent-based Simulation of Urban Air Mobility

Abstract

While a new generation of electric Vertical Take-off and Landing (eVTOL) or Personal Air Vehicles (PAV) projects receive much attention, little research is available on modeling their integration into urban transport systems. An early methodology of the Urban Air Mobility (UAM) extension for the multi-agent transport simulation, MATSim, is being presented, which enables first analyses of system-wide urban transport performance considering the effects of variations in VTOL vehicle properties and dedicated VTOL infrastructure placement.