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Shared information access services in SWIM segment 2: an architectural assessment

October 31, 2012
  |
Project Report
Author:
Oliver J. Newell
…
Published in:
MIT Lincoln Laboratory Report ATC-383
Topic:
computing
R&D area:
R&D group:

Summary

The System Wide Information Management (SWIM) program is a foundational program for the Federal Aviation Administration?s (FAA) Next Generation Air Transportation System (NextGen) initiative, with a goal of providing a common, scalable information management infrastructure. Though some benefits were realized in SWIM Segment 1 from the use of common software infrastructure components (i.e., the Progress FUSE software suite), the actual reuse of service interfaces was limited. The focus of SWIM Segment 2 is increasingly on shared services, with a goal of improved interoperability as well as increased software reuse. This report focuses on shared data access services, based on lessons learned in the SWIM Segment 1 Corridor Integrated Weather System (CIWS) SWIM Implementing Program (SIP) activity, the NextGen Network-Enabled Weather (NNEW) program, and a number of other Laboratory net-centric programs. The applicability of other information sharing architectures, such as the Web and content delivery overlay networks, to SWIM is also assessed. Based on this assessment, a number of recommendations are suggested to facilitate the development of shared services that are flexible enough to respond quickly to evolving NextGen requirements, while at the same time minimizing the overall SWIM software "footprint."
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Summary

The System Wide Information Management (SWIM) program is a foundational program for the Federal Aviation Administration?s (FAA) Next Generation Air Transportation System (NextGen) initiative, with a goal of providing a common, scalable information management infrastructure. Though some benefits were realized in SWIM Segment 1 from the use of common software...

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Shared information access services in SWIM segment 2: an architectural assessment

Characterization of traffic and structure in the U.S. airport network

October 24, 2012
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Conference Paper
Author:
Vineet Mehta
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Published in:
CIDU 2012: Conf. on Intelligent Data Understanding, 24-26 October, 2012.
Topic:
air traffic control
R&D area:
R&D group:

Summary

In this paper we seek to characterize traffic in the U.S. air transportation system, and to subsequently develop improved models of traffic demand. We model the air traffic within the U.S. national airspace system as dynamic weighted network. We employ techniques advanced by work in complex networks over the past several years in characterizing the structure and dynamics of the U.S. airport network. We show that the airport network is more dynamic over successive days than has been previously reported. The network has some properties that appear stationary over time, while others exhibit a high degree of variation. We characterize the network and its dynamics using structural measures such as degree distributions and clustering coefficients. We employ spectral analysis to show that dominant eigenvectors of the network are nearly stationary with time. We use this observation to suggest how low dimensional models of traffic demand in the airport network can be fashioned.
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Summary

In this paper we seek to characterize traffic in the U.S. air transportation system, and to subsequently develop improved models of traffic demand. We model the air traffic within the U.S. national airspace system as dynamic weighted network. We employ techniques advanced by work in complex networks over the past...

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Characterization of traffic and structure in the U.S. airport network

Cognitive workload and visual attention analyses of the air traffic control Tower Flight Data Manager (TFDM) prototype demonstration

October 22, 2012
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Conference Paper
Author:
Kiran J. Lokhande
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Published in:
HFES 2012, Human Factors and Ergonomics Society 56th Annual Mtg., 22-26 October 2012.
Topic:
air traffic control
R&D area:
R&D group:

Summary

This paper presents two methods of analyzing air traffic controller activity: cognitive workload measurement through the novel comparison of controller-pilot verbal communications, and visual attention quantification through manual eye gaze analysis. These analyses were performed as part of an evaluation of the Tower Flight Data Manager (TFDM) prototype system. Cognitive workload analyses revealed that, when comparing participant controllers utilizing TFDM to a control group utilizing existing air traffic control (ATC) equipment, participants issued commands sooner than the control, and thus were perceived to have a lower workload. While visual attention data were not available for the control group, analyses of participant gaze data revealed 81.9% of time was spent in a head-down position, and 17.2% of time was spent head-up. Results are related back to system inefficiencies to find potential areas of improvement in design.
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Summary

This paper presents two methods of analyzing air traffic controller activity: cognitive workload measurement through the novel comparison of controller-pilot verbal communications, and visual attention quantification through manual eye gaze analysis. These analyses were performed as part of an evaluation of the Tower Flight Data Manager (TFDM) prototype system. Cognitive...

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Cognitive workload and visual attention analyses of the air traffic control Tower Flight Data Manager (TFDM) prototype demonstration

Estimating the monetizable safety benefits of prototype air traffic control technologies

October 22, 2012
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Conference Paper
Author:
Amy L. Alexander
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Published in:
HFES 2012, Human Factors and Ergonomics Society 56th Annual Mtg., 22-26 October 2012.
Topic:
air traffic control
R&D area:
R&D group:

Summary

The Federal Aviation Administration (FAA) utilizes a formal investment analysis process to support the development, procurement and deployment of new air traffic control technologies. It is often unclear how to estimate the impacts of a new technology on aviation safety, both in terms of the probability that incidents and accidents could be prevented and in terms of the potential financial savings associated with reduced aircraft damage and personal injuries. With this in mind, the focus of this paper is twofold: (1) demonstrating the application of a method for generating probabilistic estimates of safety benefits for a future air traffic control technology, and (2) monetizing and extrapolating safety impacts from historical data to provide a quantitative estimate of savings over the lifetime of a new technology. The technologies explored in this analysis involve electronic flight data, enhanced surveillance and decision support tools for the air traffic control tower environment. From this initial analysis, the estimated total monetizable safety benefit of deploying all of these capabilities in a new system with an expected 2015-2035 lifetime across a set of major airports in the US ranges from $155 million to $2.1 billion. Implications of key data assumptions driving the lower and upper-bound estimates are discussed.
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Summary

The Federal Aviation Administration (FAA) utilizes a formal investment analysis process to support the development, procurement and deployment of new air traffic control technologies. It is often unclear how to estimate the impacts of a new technology on aviation safety, both in terms of the probability that incidents and accidents...

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Estimating the monetizable safety benefits of prototype air traffic control technologies

An approach for estimating current and future benefits of airport surface congestion management techniques

September 17, 2012
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Conference Paper
Author:
Alex H. Nakahara
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Published in:
12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conf. and 14th AIAA/ISSM, 17-19 September 2012.
Topic:
air traffic control
R&D area:
R&D group:

Summary

Airport surface congestion can be a cause of significant increases in taxi times, fuel burn and emissions at major airports. Various surface congestion management techniques are being developed to help mitigate these issues at different airports, typically by holding aircraft at the gate during times of high congestion to reduce the number of aircraft on the active movement area. This paper presents an approach to estimate the benefits in terms of reductions in active taxi time and fuel burn of applying such techniques at a subset of US airports, both under current and expected future operations. Results show that the benefits of surface congestion management translate to billions of gallons of reduced fuel burn and huge environmental impact reduction over the next twenty years.
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Summary

Airport surface congestion can be a cause of significant increases in taxi times, fuel burn and emissions at major airports. Various surface congestion management techniques are being developed to help mitigate these issues at different airports, typically by holding aircraft at the gate during times of high congestion to reduce...

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An approach for estimating current and future benefits of airport surface congestion management techniques

Air traffic decision analysis during convective weather events in arrival airspace

September 17, 2012
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Conference Paper
Author:
Scot E. Campbell
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Published in:
12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conf. and 14th AIAA/ISSM, 17-19 September 2012.
Topic:
air traffic management
R&D area:
R&D group:

Summary

Decision making during convective weather events in the terminal area is shared among pilots and air traffic management, where uninformed decisions can result in wide-spread cascading delays with high-level impacts. Future traffic management systems capable of predicting terminal impacts will mitigate these unnecessary delays; however in order to realize this vision, it is important to understand the decision mechanisms behind convective weather avoidance. This paper utilizes an arrival adaptation of the Convective Weather Avoidance Model (CWAM) to investigate the catalysts for arrival traffic management decision making. The analysis is broken down by category of terminal airspace structure in addition to the type of decision. The results show that pilot behavior in convective weather is heavily dependent on the terminal airspace structure. In addition, pilot and air traffic management decisions in convective weather can be discriminated with large-scale weather features.
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Summary

Decision making during convective weather events in the terminal area is shared among pilots and air traffic management, where uninformed decisions can result in wide-spread cascading delays with high-level impacts. Future traffic management systems capable of predicting terminal impacts will mitigate these unnecessary delays; however in order to realize this...

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Air traffic decision analysis during convective weather events in arrival airspace

Evaluation of the Convective Weather Avoidance Model for arrival traffic

September 17, 2012
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Conference Paper
Author:
Scot E. Campbell
…
Published in:
12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conf. and 14th AIAA/ISSM, 17-19 September 2012.
Topic:
air traffic management
R&D area:
R&D group:

Summary

The effective management of traffic flows during convective weather events in congested air space requires decision support tools that can translate weather information into anticipated air traffic operational impact. In recent years, MIT Lincoln Laboratory has been maturing the Convective Weather Avoidance Model (CWAM) to correlate pilot behavior in the enroute airspace with observable weather parameters from convective weather forecast systems. This paper evaluates the adaptation of the CWAM to terminal airspace with a focus on arrival decision making. The model is trained on data from five days of terminal convective weather impacts. The performance of the model is evaluated on an independent dataset consisting of six days of convective weather over a variety of terminal areas. Model performance in different terminal areas is discussed and the sensitivity of prediction accuracy to weather forecast horizon is presented.
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Summary

The effective management of traffic flows during convective weather events in congested air space requires decision support tools that can translate weather information into anticipated air traffic operational impact. In recent years, MIT Lincoln Laboratory has been maturing the Convective Weather Avoidance Model (CWAM) to correlate pilot behavior in the...

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Evaluation of the Convective Weather Avoidance Model for arrival traffic

Wind information requirements to support Four Dimensional Trajectory-Based Operations

September 17, 2012
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Conference Paper
Author:
Yan Glina
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Published in:
12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conf. and 14th AIAA/ISSM, 17-19 September 2012.
Topic:
air traffic control
R&D area:
R&D group:

Summary

Accurate wind information is required to support some of the key applications envisioned for future air traffic concepts. A Wind Information Analysis Framework is described to assess wind information needs for different applications. The framework is applied in a Four-Dimensional Trajectory Based Operations (4D-TBO) application using simplified versions of the framework's elements to demonstrate its utility. Realistic ranges of wind information accuracy limitations in terms of wind forecast and Flight Management System wind representation errors are studied. Their impacts on 4D-TBO performance in terms of Required Time of Arrival compliance and fuel burn are presented. Interpretations of the findings to determine wind information requirements are provided.
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Summary

Accurate wind information is required to support some of the key applications envisioned for future air traffic concepts. A Wind Information Analysis Framework is described to assess wind information needs for different applications. The framework is applied in a Four-Dimensional Trajectory Based Operations (4D-TBO) application using simplified versions of the...

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Wind information requirements to support Four Dimensional Trajectory-Based Operations

Measurements of the 1030 and 1090 MHz environments at JFK International Airport

September 12, 2012
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Project Report
Author:
Adam Panken
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Published in:
MIT Lincoln Laboratory Report ATC-390
Topic:
mode S data links
R&D area:
R&D group:

Summary

Measurements of signals in the 1030 and 1090 MHz frequency bands have been made by MIT Lincoln Laboratory in the last several years, previously in the Boston area and most recently in April 2011, at JFK International Airport near New York City. This JFK measurement activity was performed as a part of the Lincoln Laboratory Traffic Alert and Collision Avoidance System (TCAS) work for the Federal Aviation Administration (FAA) and is the subject of this report. This report includes: 1) Overall characteristics of the 1030/1090 MHz environments, 2) Analysis of the TCAS air-to-air coordination process, 3) Examination of 1090 MHz Extended Squitter transmissions for use in TCAS, 4) Assessment of the extent and impact of TCAS operation on the airport surface.
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Summary

Measurements of signals in the 1030 and 1090 MHz frequency bands have been made by MIT Lincoln Laboratory in the last several years, previously in the Boston area and most recently in April 2011, at JFK International Airport near New York City. This JFK measurement activity was performed as a...

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Measurements of the 1030 and 1090 MHz environments at JFK International Airport

Multifunction phased array radar (MPAR) spectral usage analysis

July 24, 2012
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Project Report
Author:
John Y. Cho
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Published in:
MIT Lincoln Laboratory Report ATC-395
Topic:
radar
R&D area:
R&D group:

Summary

This report addressed two technical risks associated with replacing current air traffic and weather surveillance radars with a single type of multifunction phased array radar (MPAR). The first risk is whether radio spectrum usage would increase with the MPAR network and whether the allocated band will have enough spectral space. This question is addressed in two steps. First, single-radar spectrum usage is estimated based on certain assumptions regarding the radar design. Second, locations based on a previous radar placement study are used together with a terrain-dependent propagation model to compute the number of frequency channels needed at each site. We conclude that the overall spectrum usage is likely to increase with MPAR, but that the targeted window in S band will be able to accommodate the occupancy at all sites. The second risk is whether self-interference will limit the ability of the MPAR to operate asynchronously and adaptively on different antenna faces. This question is addressed by employing a simple bistatic ground clutter model to characterize the interference between adjacent faces. We conclude that some interference is unavoidable, but it would likely only occur during times when a transmit beam is at its maximum off-broadside angle (~2% of the time).
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Summary

This report addressed two technical risks associated with replacing current air traffic and weather surveillance radars with a single type of multifunction phased array radar (MPAR). The first risk is whether radio spectrum usage would increase with the MPAR network and whether the allocated band will have enough spectral space...

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Multifunction phased array radar (MPAR) spectral usage analysis
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