Development of decision support systems for RAM operations in South Korea

Junghyun (Andy) Kim

Sponsored Research (National Research Foundation)

Research Motivation

As the concept of Regional Air Mobility (RAM) has emerged as a new transportation system over the world, South Korea has recently started considering the implementation of RAM with the aim of improving the connectivity of medium-distance transportation between cities. The current air traffic management systems operated in South Korea seem unsuitable to accommodate the upcoming RAM operations due to the characteristics of RAM; thus, the need for the development of decision support systems has been identified.

Key Idea

This research proposes a data-driven approach that leverages machine learning and optimization techniques. It consists of four different modules: 1) Corridor network generation module, 2) Flight path optimization module, 3) Corridor network operation optimization module, and 4) Aircraft separation and density analysis module. The following figure illustrates a notional sketch of a three-year (i.e., from 2023 to 2025) sponsored research led by Dr. Junghyun Kim.

Overview of the proposed methodology