Currently, a team of researchers from leading Universities and Government funded research institutes in the Republic of Korea are working together to enable mixed operation of manned and civil unmanned aircraft in the Korean National Airspace by 2020. In this paper, impacts of the detection range and angle of a generic Detect-And-Avoid (DAA) system on DAA Well Clear (DWC) metrics are investigated. Recorded Automatic Dependent Surveillance-Broadcast (ADS-B) trajectory data within about 150 nautical miles from the Inha University are used, which includes Incheon International Airport (ICN) and Gimpo International Airport (GMP). Efforts are made to provide a guideline for acceptable detection range and detection angles with respect to the risk level that reflects the air traffic characteristics of the Republic of Korea. The analyses show that, with ±70° of detection azimuth, ±30° of detection elevation, and 56,000 ft of detection range, more than 99 % of the threats can be detected by either the ownship or the intruder.

This paper demonstrates the effectiveness of the Extended First-Come, First-Served (EFCFS) scheduler for integrated arrival and departure scheduling by comparing the scheduling results with the recorded operational data at Incheon International Airport (ICN), Republic of Korea. The EFCFS scheduler can handle multiple capacity- or flow-rate-related constraints along the path of each flight, which is represented by a node–link graph structure, and can solve large-scale problems with low computational cost. However, few studies have attempted a systematic verification of the EFCFS scheduler by comparing the scheduling results with historical operational data. In this paper, flights are scheduled between gates and runways on the airport surface with detailed constraints such as runway wake turbulence separation minima and conflict-free taxiing. The scheduler is tested using historical flight data from 15 August 2022 at ICN. The input schedule is generated based on the flight plan data extracted from the Flight Operation Information System (FOIS) and airport surface detection equipment data, and the results are compared with the times extracted from the FOIS data. The scheduling results for 500 aircraft show that the average takeoff delay is reduced by about 19 min, while the average landing delay is increased by less than one minute when the gate occupancy constraint is not considered. The results also confirm that the EFCFS effectively utilizes the available time slots to reduce delays by switching the original departure or arrival orders for a small number of flights.