09 - Air Transport System Efficiency
DEVELOPMENT OF A NEW OPERATIONAL FRAMEWORK TO ACCOMMODATE STOCHASTIC AIR TRAFFIC FLOW AT TOKYO INTERNATIONAL AIRPORT
D. Iwata, The University of Tokyo, Japan; E. Itoh, The University of Tokyo/Electronic Navigation Research Institute, Japan
Departure management is an important congestion mitigation method at airport. This study proposed a new operational framework with 1) machine learning models, 2) departure queuing model using time-varying fluid queue, and 3) reflection of airport-specific characteristics. The validation using the AirTOp simulator showed that the proposed framework reduces departure queues by about 52% on average.