ATFM

Probabilistic Air Traffic Flow Management (ATFM) in the next generation air transportation system

This research seeks to develop and evaluate both deterministic and stochastic Air Traffic Flow Management (ATFM) optimization models, with the purpose to be utilized in the current and future air transportation systems.

South Korea, one of leading states of the International Civil Aviation Organization (ICAO), is facing the challenge to modernize its air transportation system as mandated by the organization by 2020.

This research first addresses shortcomings of the current ATFM system by developing a mathematical model to achieve integrated system management. We also study Probabilistic Air Traffic Management (PATM), which has attracted great interests in the ATM community, and propose a stochastic route optimization model when certain challenges inhibits full utilization of the airspace. Software implementation of developed models to simulate and evaluate effectiveness of the proposed models.

Result Result

Expected Contribution

• Conduct a leading research in the PATM area, which is one of the main focus of ATM research communities worldwide, and set out the opportunity to become a leading country in the future ATM

• Provide systematic solution to address airspace congestion

• Redefine the aviation as one of the green transportation mode through the optimal ATFM, which will result in the reduction of carbon footprint of the aviation and increase of the fuel efficiency

Period: 2011.05~2014.04

Funding: National Research Foundation of Korea (NRF)

Team: Ohhoun Kwon, Kyowon Song, Donghoun Lee