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  • Air Transportation and Safety  (136)
  • Meteorologie
  • 2015-2019  (137)
  • 2019  (137)
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  • 2015-2019  (137)
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  • 1
    facet.materialart.
    Unknown
    Vieweg, Braunschweig
    In:  SUB Göttingen | 8 PHYS MATH I, 4405:92
    Publication Date: 2021-03-29
    Description: Seit Beginn unseres Jahrhunderts wird eine Änderung verschiedener Klimaelemente immer auffälliger. Es scheint an der Zeit, die zahlreichen Einzelarbeiten, welche kleinere Gebiete der Erde und einzelne Klimaelemente oder kürzere Zeitintervalle betreffen, zusammenzufassen und die Ergebnisse übersichtlich darzustellen. So gelangt man zur einwandfreien Feststellung, dass das, was man im landläufigen Sinne als Klima bezeichnet, nichts Unveränderliches ist, sondern recht merklichen Abwandlungen im Laufe von Jahrzehnten oder Jahrhunderten unterworfen ist. […] Es scheint auch lohnend, die viel gewaltigeren Klimaänderungen in der postglazialen Zeit und während der Eiszeit einer zusammenfassenden Diskussion vom meteorologischen Standpunkt zu unterziehen. […] Den Abschluss bildet eine kritische Besprechung der Periodenforschung als solcher sowie einiger Klimaperioden, die in der Literatur zumeist als „bewiesen“ bezeichnet werden.
    Description: research
    Description: DFG, SUB Göttingen
    Keywords: 910 ; 551 ; Klimaänderungen ; Klimaentwicklung ; Klimaänderungen ; Meteorologie ; Eiszeit ; Klimaperioden ; FID-GEO-DE-7
    Language: German
    Type: monograph_digi
    Format: 227
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  • 2
    Publication Date: 2019-05-07
    Description: This report is part of a series of reports that address flight deck design and evaluation, written as a response to loss of control accidents. In particular, this activity is directed at failures in airplane state awareness in which the pilot loses awareness of the airplane's energy state or attitude and enters an upset condition. In a report by the Commercial Aviation Safety Team, an analysis of accidents and incidents related to loss of airplane state awareness determined that hazard alerting was not effective in producing the appropriate pilot response to a hazard (CAST, 2014). In the current report, we take a detailed look at 28 airplane state awareness accidents and incidents to determine how well the hazard alerting worked. We describe a five-step integrated alerting-to-recovery sequence that prescribes how hazard alerting should lead to effective flight crew actions for managing the hazard. Then, for each hazard in each of the 28 events, we determine if that sequence failed and, if so, how it failed. The results show that there was an alerting failure in every one of the 28 safety events, and that the most frequent failure (20/28) was tied to the flight crew not orienting to (not being aware of) the hazard. The discussion section summarizes findings and identifies alerting issues that are being addressed and issues that are not currently being addressed. We identify a few recent upgrades that have addressed certain alerting failures. Two of these upgrades address alerting design, but one response to the safety events is to upgrade training for approach to stall and stall recovery. We also describe issues that are not being addressed adequately: better alert integration for flight path management types of hazards, airplanes in the fleet that do not meet the current alerting regulations, a lack of innovation for addressing cases of channelized attention, and existing vulnerabilities in managing data validity.
    Keywords: Air Transportation and Safety
    Type: NASA/TM-2019-220176 , ARC-E-DAA-TN64314
    Format: application/pdf
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  • 3
    Publication Date: 2019-06-06
    Description: Air traffic in the United States has continued to grow at a steady pace since 1980, except for a dip immediately after the tragic events of September 11, 2001. There are different growth scenarios associated both with the magnitude and the composition of the future air traffic. The Terminal Area Forecast (TAF), prepared every year by the FAA, projects the growth of traffic in the United States. Both Boeing and Airbus publish market outlooks for air travel annually. Although predicting the future growth of traffic is difficult, there are two significant trends: heavily congested major airports continue to see an increase in traffic, and the emergence of regional jets and other smaller aircraft with fewer passengers operating directly between non-major airports. The interaction between air traffic demand and the ability of the system to provide the necessary airport and airspace resources can be modeled as a network. The size of the resulting network varies depending on the choice of its nodes. It would be useful to understand the properties of this network to guide future design and development. Many questions, such as the growth of delay with increasing traffic demand and impact of the en route weather on future air traffic, require a systematic understanding of the properties of the air traffic network. There has been a major advance in the understanding of the behavior of networks with a large number of components. Several theories have been advanced about the evolution of large biological and engineering networks by authors in diversified disciplines like physics, mathematics, biology and computer science. Several networks exhibit a scale-free property in the sense that the probabilistic distribution of their nodes as a function of connections decreases slower than an exponential. These networks are characterized by the fact that a small number of components have a disproportionate influence on the performance of the network. Scale-free networks are tolerant to random failure of components, but are vulnerable to selective attack on components. This paper examines two network representations for the baseline air traffic system. A network defined with the 40 major airports as nodes and with standard flight routes as links has a characteristic scale: all nodes have 60 or more links and no node has more than 460 links. Another network is defined with baseline aircraft routing structure exhibits an exponentially truncated scale-free behavior. Its degree ranges from 2 connections to 2900 connections, and 225 nodes have more than 250 connections. Furthermore, those high-degree nodes are homogeneously distributed in the airspace. A consequence of this scale-free behavior is that the random loss of a single node has little impact, but the loss of multiple high-degree nodes (such as occurs during major storms in busy airspace) can adversely impact the system. Two future scenarios of air traffic growth are used to predict the growth of air traffic in the United States. It is shown that a three-times growth in the overall traffic may result in a ten-times impact on the density of traffic in certain parts of the United States.
    Keywords: Air Transportation and Safety
    Type: ARC-E-DAA-TN65789
    Format: application/pdf
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  • 4
    Publication Date: 2019-05-30
    Description: This presentation will: Describe some of the exploratory work and products of the UCAT, which lay the groundwork for NASAs UAM investments; Describe the UAM Grand Challenge
    Keywords: Air Transportation and Safety
    Type: AFRC-E-DAA-TN68911
    Format: application/pdf
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  • 5
    facet.materialart.
    Unknown
    In:  CASI
    Publication Date: 2019-07-31
    Description: FACT is a software program that provides important information about winter weather operations to airline dispatchers and airport personnel. FACT has a "quad" design and shows various maps, text, and tabular information. It also has a team messaging capability. It is meant to be used by airline dispatchers and airport personnel to manage winter storms. This presentation is for a meeting with Boeing. COMMERCIAL AIRCRAFT; AIRLINE OPERATIONS; STORMS COMPUTER PROGRAMS; AIRLINE OPERATIONS; WEATHER FORECASTING; MESSAGE PROCESSING; AIRCRAFT COMMUNICATION; WINTER; STORMS (METEOROLOGY); COMMERCIAL AIRCRAFT
    Keywords: Air Transportation and Safety
    Type: ARC-E-DAA-TN70188 , Meeting with Boeing; Jun 26, 2019; Moffett Field, CA; United States
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  • 6
    Publication Date: 2019-07-31
    Description: This work introduces an approach to estimate the complexity of a low-altitude air traffic scenario involving multiple UASs using mathematical programming. Given a set of multi-point UAS flight trajectories, vehicle dynamics, and a conflict resolution algorithm, an abstract model is developed such that it can be solved quickly using a mathematical programming optimization software without running high-fidelity simulations that can be computationally expensive and may not suit real-time apA quick and accurate assessment of complexity for a given traffic scenario can help plan and schedule flights to alleviate traffic bottleneck and mitigate operation risks, especially for unmanned aerial system traffic management where high traffic density or complexity is expected. This work introduces a traffic scenario complexity metric that was constructed based on the number of potential conflicts weighted by the conflict resolution cost associated. The cost associated with a conflict is calculated based on the corresponding conflict resolution maneuvers. To obtain the conflict resolution maneuvers, a MILP-based optimization was formulated with the vehicle model and conflict management parameters incorporated. To evaluate the complexity metrics, an approach of using measurements from high-fidelity simulations was proposed. The scenario complexity measurements for 920 random-generated scenarios were obtained through high-fidelity simulations and treated as the ground truth. Two statistics methods: Pearson and Alternative Conditional Expectations were applied for analysis. The results showed that the number of flights has low correlation with the scenario complexity according to the correlation coefficients calculated by both methods. The Alternative Conditional Expectations method shows that the proposed scenario complexity metric has better correlation with the ground truth than the number of potential conflicts.plications. In the abstract model, each vehicle is represented by a time-varied vector associated with position, speed, and heading information. The total extra distance that aircraft need to divert from their original routes to avoid collisions is computed and used to setup a quadratic programming formula. The metrics including the number of conflicts and extra distances travelled by all vehicles are then utilized to estimate the complexity of a given UAS flight scenario. Results and verification against high-fidelity simulations will be provided in the final draft.
    Keywords: Air Transportation and Safety
    Type: ARC-E-DAA-TN69705 , AIAA Aviation Forum 2019; Jun 17, 2019 - Jun 21, 2019; Dallas, TX; United States
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  • 7
    Publication Date: 2019-07-20
    Description: Target generation systems provide the positions of aircraft in air traffic simulations. As the scope of the simulation domains expand, there is a need to develop systems that can provide position reports for thousands of aircraft simultaneously and at update rates that support out-the-window visualization. This paper discusses the motivation and reasoning behind investigating development of a next generation target generator through distributed computing using clustered node processing and how a target generation system benefit future research that utilizes human-in-the-loop simulations.
    Keywords: Air Transportation and Safety
    Type: ARC-E-DAA-TN64127 , ARC-E-DAA-TN64472 , AIAA SciTech Forum 2019; Jan 07, 2019 - Jan 11, 2019; San Diego, CA; United States
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  • 8
    Publication Date: 2019-07-20
    Description: This paper presents an encounter-based simulation architecture developed at NASA to facilitate flexible and efficient Detect and Avoid modeling in parametric or tradespace studies on large data sets. The basic premise of this tool is that large-scale input data can be reduced to a set of `canonical encounters' and that using the reduced data in simulations does not lead to loss of fidelity. A canonical encounter is specified as ownship and intruder flight portions potentially resulting in a loss of well clear along with a set of properties that characterize the encounter. The advantages of using canonical encounters include faster simulations, reduced memory footprint, ability to select encounters based on user-specified criteria, shared encounters across multiple teams, peer-reviewed encounters, and a better understanding of the input data set, to name a few.
    Keywords: Air Transportation and Safety
    Type: ARC-E-DAA-TN62918 , AIAA SciTech Forum 2019; Jan 07, 2019 - Jan 11, 2019; San Diego, CA; United States
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  • 9
    Publication Date: 2019-07-20
    Description: Current radar-based air traffic service providers may preserve privacy for military and corporate operations by procedurally preventing public release of selected flight plans, position, and state data. The FAA mandate for national adoption of Automatic Dependent Surveillance Broadcast (ADS-B) in 2020 does not include provisions for maintaining these same aircraft-privacy options, nor does it address the potential for spoofing, denial of service, and other well-documented risk factors. This paper presents an engineering prototype that embodies a design and method that may be applied to mitigate these ADS-B security issues. The design innovation is the use of an open source permissioned blockchain framework to enable aircraft privacy and anonymity while providing a secure and efficient method for communication with Air Traffic Services, Operations Support, or other authorized entities. This framework features certificate authority, smart contract support, and higher-bandwidth communication channels for private information that may be used for secure communication between any specific aircraft and any particular authorized member, sharing data in accordance with the terms specified in the form of smart contracts. The prototype demonstrates how this method can be economically and rapidly deployed in a scalable modular environment.
    Keywords: Air Transportation and Safety
    Type: ARC-E-DAA-TN63825 , AIAA SciTech Forum; Jan 07, 2019 - Jan 11, 2019; San Diego, CA; United States
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  • 10
    Publication Date: 2019-07-20
    Description: The paper presents an efficient trajectory generation and tracking approach for multi-rotor air vehicles operating in urban environment, which takes into account uncertainties in the urban wind field and in the vehicle's parameters. Generated trajectories are sufficiently smooth, based on the differential flatness of the vehicle's dynamics and optimal in the sense of minimum agility and time. They pass through given set of way points, guarantee flight without a side-slip, and satisfy vehicle's dynamics and actuator constraints. In addition, an algorithm is presented to compute the required power to traverse the generated trajectory. Presented algorithms are implementable in real time using on-board computers. They do not take into account the vehicle's existing flight controller, hence there is no guarantee that the controller will be able to provide acceptable tracking of the generated trajectory, especially in the presence of atmospheric disturbances. To this end, we propose an adaptive augmentation algorithm to improve vehicle's performance by taking into account the effects of disturbances and on-line estimates of vehicle's existing flight controller's gains. The algorithms have been verified by simulations using DJI S1000 octocopter's model.
    Keywords: Air Transportation and Safety
    Type: ARC-E-DAA-TN64488 , AIAA Science and Technology Forum and Exposition; Jan 07, 2019 - Jan 11, 2019; San Diego, CA; United States
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