Rapid Generation and Utilization of Four-Dimensional Trajectories for Air Traffic Control and Management Applications in MACS (original) (raw)
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2010
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ATC-lab: An air traffic control simulator for the laboratory
Behavior Research Methods, Instruments, & Computers, 2004
Air Traffic Control Laboratory Simulator (ATC-lab) is a new low-and medium-fidelity task environment that simulates air traffic control. ATC-lab allows the researcher to study human performance of tasks under tightly controlled experimental conditions in a dynamic, spatial environment. The researcher can create standardized air traffic scenarios by manipulating a wide variety of parameters. These include temporal and spatial variables. There are two main versions of ATC-lab. The mediumfidelity simulator provides a simplified version of en route air traffic control, requiring participants to visually search a screen and both recognize and resolve conflicts so that adequate separation is maintained between all aircraft. The low-fidelity simulator presents pairs of aircraft in isolation, controlling the participant's focus of attention, which provides a more systematic measurement of conflict recognition and resolution performance. Preliminary studies have demonstrated that ATC-lab is a flexible tool for applied cognition research.
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AIAA Modeling and Simulation Technologies Conference and Exhibit, 2008
2 STAR = Standard Terminal Arrival Route SUA = Special Use Airspace TRACON = Terminal RADAR Approach Control TSAFE = Tactical Separation-Assisted Flight Environment VOR = VHF Omni-directional Range ZID = Indianapolis ARTCC
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New technologies will significantly change Air Traffic Control over the next 15 years. These changes will require improved human-computer interfaces for the less regulated, more complex future environment. This paper describes a highly interactive, real time demonstration of 3-D visualization and interface concepts for the air traffic domain, including Free Flight. This demonstration offers a 3-D, stereoscopic view from both the controller's and pilot's perspectives, featuring representations of projected flight paths, 3-
STAND-LOOP SIMULATION OF AIR TRAFFIC CONTROL SYSTEMS
This paper presents the simulation tool for study future ATM systems, based on advanced CNS capabilities. Research Stand for hardware-in-the-loop and human-in-the-loop simulation of Air Traffic Management System is the simulation tool, which includes on-board and ground-based components of the air traffic management system. Due to wide range of integrated components the Stand allows studying advanced concepts and technologies of the whole air traffic management system. The Stand allows running simulation in fast-time and real-time modes. Fast time simulation is applied to the long-term experiments. During this simulation all components work in automatic mode. Real-time human-in-the-loop simulation runs to demonstrate functional interaction between ATM components.
Evaluation of a radically revised air traffic management interface
Proceedings. The 21st Digital Avionics Systems Conference, 2003
ABSTRACT By taking into account the capabilities of modern computer-based control systems, and modern knowledge of human cognitive capabilities and limitations, it is possible to produce an 'en route' air traffic management system which has a considerably greater capacity than the existing system - although this requires considerable changes in the way that control is exercised. The model described included checks for unintentionally unsolved conflicts and incorrect departures, improved symbology for errors in departures and a provision for a rapid switch between the two aircraft in a conflict. It also included more detailed recording of simulation events, and more precise calculations of departure times. The time, place and flight level for exit for each aircraft were planned as they were generated, and aircraft were required to leave at that spacetime point, unless this would involve a conflict.
Validation of an Air-Traffic Controller behavioral model for fast time simulation
2014 Integrated Communications, Navigation and Surveillance Conference (ICNS) Conference Proceedings, 2014
The US National Airspace System (NAS) is incredibly complex, and consists of many specific functions. Given predicted increases in air traffic, enhancement of the current system and development of the NextGEN system are critical to maintain safe and efficient operation. Each feature of the system needs to be carefully designed, developed, tested and validated. To this end, human-in-the-loop (HITL) simulations represent one of the most powerful and realistic testing tools. HITL simulations can provide valuable feedback on how new features influence the behavior of human operators. The drawbacks of HITL simulations include limited flexibility and scalability, and high cost. Computer simulations, which involve no direct human activity, can avoid some of these potential problems, and often represent an attractive alternative (or adjunct) to HITL simulation.
Future en route air traffic control workstation: back to basics
The 23rd Digital Avionics Systems Conference (IEEE Cat. No.04CH37576)
The expected increase of air traffic by at least 33% by 2015 to 2020 will require more than an evolutionary change from the way air traffic controllers work today in more than an evolutionary manner. One way to do this is to free up individual air traffic controller physical and mental resources. If controllers can apply the increase in available resources to air traffic control, we expect that they will have more capacity to absorb an increase in air traffic. To make these resources available we will use human factors principles to integrate available data and provide that data to controllers in an efficient presentation format. We report on the development of a concept software platform that integrates data obtained from existing automation tools with available National Airspace System VAS) data. The integration takes place at the Human Computer Interface and attempts to make that interface easy to use by applying human factors principles and leveraging existing air traffic controller expertise. We will discuss why we must present National Airspace Data in an integrated manner. We will also present how we intend to assess if our approach has succeeded in freeing individual air traffic controller resources.