09 - Air Transport System Efficiency
DEMAND CAPACITY BALANCING FOR URBAN AIR MOBILITY USING MULTIAGENT SIMULATION
G. Sato, Electronic Navigation Research Institute, Japan
This study proposes the new concept of demand capacity balancing (DCB) based on the multi-agent system for urban air mobility. It is assumed the future distributed urban air traffic management. We develop the multi-agent DCB and simulate various situations by varying some parameters. The simulation results show the effectiveness of the multi-agent DCB and provide a benchmark for DCB development.