Browse Topic: Air traffic control
Unmanned aerial vehicles (UAVs) are an emerging technology with a large variety of commercial and military applications. In-flight icing occurs during flight in supercooled clouds or freezing precipitation and is a potential hazard to all aircraft. In-flight icing on UAVs imposes a major limitation on the operational envelope. This report describes the unsettled topics related to UAV icing. First, typical UAV applications and the general hazards of icing are described. Second, an overview of the special technical characteristics of icing on autonomous and unmanned aircraft is given. Third, the operational challenges for flight in icing conditions are discussed. Fourth, technologies for ice protection that mitigate the icing hazard are introduced. Fifth, the tools and methods required to understand UAV icing and to develop aircraft with cold-weather capabilities are presented. Finally, an assessment of the current and future regulations regarding icing on UAVs is provided.Icing is a key
Convective weather systems, i.e., thunderstorms, are the leading cause of flight delay in U.S. airspace. Airline dispatchers must file their flight plans 1 to 2 hours before takeoff, and are often required to incorporate large buffers to forecast weather. Weather changes as flights progress, and airline dispatchers, Federal Aviation Administration (FAA) traffic managers, and air traffic controllers are especially busy during weather events. Workable opportunities for more efficient routes around bad weather are often missed, and automation does not exist to help operators determine when weather avoidance routes have become stale and could be updated to reduce delay.
Sector 33 is a mobile app for the Apple and Android mobile platforms that provides a single-user, interactive air traffic control simulator (game) for mobile devices. The main features of the app include an interactive air traffic control simulation with numerous problems for two to five airplanes; introductory videos on air traffic control; scoring for the problems; awards for reaching levels of achievement; integrated solution hints; a short introduction to the simulator; help; and hints for simple proportional reasoning math needed to solve the problems perfectly.
The NASA Langley Aeronautics Systems Analysis Branch (ASAB) is heavily involved in research studies to evaluate new and emerging concepts targeted at improving the National Airspace System (NAS). The primary tool used by ASAB to perform these studies is the Airspace Concept Evaluation System (ACES), a medium-fidelity, NAS-wide simulation environment.
Current trends indicate the significant increase in National Airspace System (NAS) flight congestion and delays. The Airspace Concepts Evaluation System (ACES) provides a NAS modeling and simulation environment capable of assessing the impact of new NAS concepts, technologies, and simulation architecture. ACES fully supports the ability of the modeling and simulation system to incorporate new capabilities required to assess proposed advanced air traffic modeling (ATM) concepts and technologies.
This innovation consists of the Traffic Aware Strategic Aircrew Request (TASAR) concept and the associated Traffic Aware Planner (TAP) software. TASAR is intended to enable pilots to discover trajectory improvement opportunities while en route that will result in immediate operational benefits for the airspace user and be approvable by Air Traffic Control (ATC). TAP is a cockpit-based advisory tool that enables the TASAR concept, and it was developed to be hosted on a Class 2 Electronic Flight Bag. This near-term concept provides pilots with a strategic re-planning capability that optimizes fuel burn or flight time; avoids interactions with known traffic, weather, and restricted airspace; and may be used by the pilots to request a trajectory change from ATC with increased likelihood of approval. TAP’s internal architecture and algorithms are derived from the Autonomous Operations Planner (AOP), a flight-deck automation system developed by NASA to support research into aircraft self
The doubling or tripling of airspace capacity that will be needed over the next several decades will require that tactical separation guidance be automated for appropriately equipped aircraft in high-density airspace. Four-dimensional (4D) trajectory assignment (three-dimensional position as a function of time) will facilitate such automation. A standard trajectory specification format based on XML (Extensible Markup Language) is proposed for that purpose.
Different types of information are used to help aircraft maintain separation standards. At the lowest level, information is needed to indicate if separation standards will be violated in the near future, called a conflict. Once a conflict is detected, then conflict resolution information may be used to create a new path in which there is no conflict. Most future airspace concepts propose using computer algorithms to produce this information. Both conflict detection and resolution algorithms usually work in a pair-wise fashion: the ownership aircraft and one other aircraft. In situations where traffic density is low, this pair-wise assumption does not significantly impact operations. However, when traffic density is high, resolving one conflict may result in new near-term conflicts called secondary conflicts. These secondary conflicts may be nearer (in time) than the original conflict being addressed, so, the safety of the aircraft depends on avoiding these conflicts.
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