• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2008년도 하계종합학술대회
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• pp.1197-1198
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• 2008

The purpose of the Air Traffic Control(ATC) system is to provide a safe, efficient flow of air traffic from origin to destination. Therefor, it is important to reduce the operational errors. Most of errors occurs from controllers. So, we suggest the human machine interface scheme for Air Traffic Control system.

• 한국항공운항학회지
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• 제23권4호
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• pp.42-48
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• 2015

This paper has its purpose on constructing a prediction model of the arrival sequencing strategy which reflects the actual sequencing patterns of air traffic controllers. As the first step, we analyzed a pair-wise sequencing of two aircraft entering TMA from different entering points. Based on the historical trajectory data, several traffic factors such as time, speed and traffic density were examined for the model. With statistically significant factors, we constructed a prediction model of arrival sequencing through a binary logistic regression analysis. With the estimated coefficients, the performance of the model was conducted through a cross validation.

• 한국항공운항학회지
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• 제18권2호
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• pp.9-15
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• 2010

ADS-B(Automatic Dependent Surveillance-Broadcast) has been recognized as a key component of Surveillance and ATM in CNS/ATM System. In addition to providing surveillance for air traffic control(ATC), ADS-B also supports airborne applications such as enhanced traffic situational awareness through the display of other aircraft to pilots and flight crew. It provides the real-time and same air traffic information to pilots in the aircraft cockpit, air traffic controllers in tower and surface vehicles on the ground at the same time. Aircraft Cockpit Display Unit will display the given information precisely and accurately. This paper describes progress in the development of a Cockpit Display with ADS-B data that enable pilots to acquire, verify and maintain pre-defined spacing intervals from other aircraft for general aviation and small regional aircraft. The designed display provides analogous information in the form of traffic position, range, and ground speed, etc.

• 한국항공운항학회지
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• 제32권3호
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• pp.154-163
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• 2024

Recently, various urban problems are expected to arise due to the concentration of urban population and acceleration of urbanization, and UAM, a new air transportation method, is emerging to solve these problems. Currently, the world is actively conducting research and development on UAM technology, infrastructure, and systems to commercialize UAM. Although UAM is expected to develop in a similar way to the air transportation industry, research on the human factors of UAM for safe UAM operation and accident prevention is insufficient. In this study, to ensure safe operation of UAM, the human factors of UAM-PSU were identified and presented using the AHP technique targeting aviation experts. In addition, a comparative analysis of the human factors of PSU and air traffic controllers was conducted through relative importance analysis, and an efficient management plan for important human factors was presented.

• 한국항공운항학회지
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• 제19권2호
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• pp.37-44
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• 2011

This paper summarizes the HVO concept and procedures, presents a summary of the research and results, and outlines areas where future HVO is required. This concept enables people to get their destinations through shortest paths with advanced air traffic control system and equipments. The concept's key feature is that pilots maintain their own separation from other aircraft using air-to-air datalink and on-board software which are needed for supporting flight information present on the high Way in the sky display and airborne internet. By assigning Self-Controlled Area which assume pilot have separation responsibility, controllers evaluated SATS HVO concept as a successful method on the view of reduced workload and increased traffic level on high volume operation.

• 한국항공운항학회:학술대회논문집
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• 한국항공운항학회 2006년도 추계학술대회 논문집
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• pp.87-90
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• 2006

• 한국항공운항학회지
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• 제26권2호
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• pp.39-46
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• 2018

Departure Manager (DMAN) is a tool to optimize the departure sequence and to suggest appropriate take-off time and off-block time of each departure aircraft to the air traffic controllers. To that end, Variable Taxi Time (VTT), which is time duration of the aircraft from the stand to the runway, should be estimated. In this paper, a study for development of VTT prediction algorithm based on machine learning techniques is presented. The factors affecting aircraft taxi speeds were identified through the analysis of historical traffic data on the airport surface. The prediction model suggested in this study consists of several sub-models that reflect different types of surface maneuvers based on the analysis result. The prediction performance of the proposed method was evaluated using the actual operational data.

• International Journal of Aeronautical and Space Sciences
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• 제17권4호
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• pp.604-613
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• 2016

In this paper, Human-in-the-Loop (HiTL) simulations of Remotely Piloted Aircraft System (RPAS) operations in two different Air Traffic Management (ATM) concepts, conventional radar vectoring and Trajectory Based Operations (TBO), were performed to assess the impacts of RPAS integration in the future ATM environment. TBO concept maximizes the throughput by planning and sharing 4-D trajectories between pilots and controllers, and it is considered one of the key concepts to enable RPASs to operate with manned aircraft in congested airspaces. RPASs are characterized by having communication delay or temporary loss of communication. TBO capability was added to the integrated air traffic simulation system for this study, which was developed in the Inha University. HiTL simulations were performed by a trainee air traffic controller with three scenarios, and the data were analyzed using safety, efficiency, and controller workload metrics. The results suggest that TBO were effective in reducing delays and controller workload while maintaining the level of safety.

• 한국항공운항학회지
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• 제23권1호
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• pp.41-48
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• 2015

Being a cost-efficient solution for alleviating the traffic congestion in airspace, Air Traffic Flow Management (ATFM) has drawn more attentions from not only air traffic controllers but also researchers in the field of Air Traffic Management (ATM). Among other ATFM initiatives, it is believed that Ground Delay Program (GDP) could be effectively applied to reduce the congestion particularly in the relatively small airspace with dense traffic demand. This paper introduces a novel way that suggests flights to be delayed on the departing airports together with amount of the delays (in time) for those flights to be delayed. Adopting a fast-time simulation for predicting airspace delay of each flight for a given flight plan, the method is designed to iteratively and incrementally adjust the departure times in the plan towards reducing total airspace delays. Applying the method to Jeju airport with a hypothetically high demand, the paper demonstrates the airspace delay could be significantly reduced by applying GDP at Gimpo airport where more than 60% of Juju-bound flights departure. Although the simulation model needs to be calibrated and validated for the real-world application, the results clearly shows that the approach can possibly implemented as a tool for preparing the daily plan at the pre-tactical stage defined in the ICAO ATFM manual.

• 한국항공운항학회지
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• 제25권3호
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• pp.44-50
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• 2017

This paper proposes arrival scheduling and advisory generation algorithms which can be used in the terminal airspace with Point-Merge procedures. The proposed scheduling algorithm consists of two steps. In the first step, the algorithm computes aircraft schedules at the entrance of the Point-Merge sequencing legs based on First-Come First-Served(FCFS) strategy. Then, in the second step, optimal sequence and schedules of all aircraft at the runway are computed using Multi-Objective Dynamic Programming(MODP) method. Finally, the advisories that have to be provided to the air traffic controllers are generated. To demonstrate the proposed algorithms, the simulation was conducted based on Jeju International Airport environments.