Thursday, Oct. 11 – room 33-206
12:30 - 1:00 PM Sign in
1:00 – 2:30 PM MIT Research Activities - Prof. R. John Hansman
2:30 - 3:00 PM BREAK
3:00 - 4:30 PM MIT Research Activities - Prof. R. John Hansman
6:30 - 9:00 PM Dinner at Local Restaurant
Friday, Oct. 12 - Room 33-206
8:30 AM - 9:00 AM Coffee and pastries
9:00 - 10:30 AM Ohio University Research Activities - Prof. Wouter Pelgrum
10:30 – 12:00 PM Princeton University Research
Activities – Prof.
12:00 – 12:30 PM Principal Investigators’ Meeting
Massachusetts Institute of Technology
Anomaly Detection in Flight Data Recorder Data of Airline Operations
Because airline operations are exceedingly safe, future hazards are likely
to emerge from new emergent sources. The objective of this study is to develop
data analysis methods that can detect anomalous flights from Digital Flight
Data Recorder (DFDR) data without the need to specify specific exceedance parameters
or anomalies in advance. The method under development detects anomalous
flights based on a hyperspace cluster analysis, which identifies clusters representing
nominal flight behaviors and allows identification of unusual flights that
do not correspond to a normal cluster. The anomalous flights could then
be reviewed by subject matter expert pilots to determine if they are benign,
or may be precursors of emerging risks. This data-driven approach provides
a way to look for unknown safety issues.
Design and Optimization of a General Aviation Conflict Alerting System
Due to high nuisance alarm rates, current traffic alerting systems have limited
usability in the airport environment where a majority of mid-air collisions
occur. As part of NextGen, ADS-B will become the primary surveillance source
in the National Airspace System. Using the higher quality surveillance information
available via ADS-B, the Traffic Situation Awareness with Alerting Application
(TSAA) will be the next generation of traffic alerting for General Aviation.
TSAA will provide timely alerts to the flight crew in order to increase their
traffic situation awareness.
Current work involves the design and evaluation of a new
conflict alerting algorithm and it's performance under real-world conditions.
A study of the sources of uncertainty associated with the ADS-B data that
is used by the algorithm to predict conflicts was conducted. In order to
evaluate the algorithm's performance with track data from aircraft encounters,
a fast-time simulation environment was created that accurately degrades the "truth data" with
uncertainties representative of what would be observed in the real world.
Initial results have been generated and are presented.
Preliminary Observations of Attentional Filtering Techniques Applied in
Current Electronic Cockpit Displays
The rapid emergence of cockpit installed electronic displays (e.g., MFDs, PFDs)
and portable displays (e.g., iPADs, iPhones), and the rapid adoption by pilots
have introduced a need for the design and development guidance for these displays. As
a result, there is a need to understand the Attentional Filtering Techniques
used in these displays to efficiently filter and prioritize the high levels
of information that are being presented to the pilots. In order to identify
these techniques, and understand common ways in which they are implemented,
a review of 15 currently available electronic displays from 13 avionics manufacturers
was conducted, and observed attentional filtering techniques are recorded.
Influence of Runway Occupancy Time and Wake Vortex on Runway Throughput
Runway occupancy times and inter-arrival separations were measured at Boston
Logan, La Guardia, Philadelphia, and at Newark to determine the potential benefits
that could be gained by introducing wake vortex mitigation processes. Inter-arrival
separations between landing aircraft were compared in visual and in instrumental
meteorological conditions that serve as the basis for fast time computer simulations
determining airport throughput.
Investigating the Impact of Air Transportation on Economic Productivity
As part of an FAA-sponsored project investigating the impacts of air transportation
on U.S. economic productivity, we have focused on identifying the mechanisms
of such impacts, while addressing both intermediate and final use of air transportation.
We have gathered data from a range of sources, including the BEA’s Input-Output
(I-O) accounts, the BLS’s productivity statistics, and the BTS’s
Schedule P12 data to help inform and suggest revisions to the mechanisms. Preliminary
analyses of the I-O accounts and correlations between air transportation use
and labor productivity appear to suggest that industry productivity (particularly
in the goods-producing industries) might not be as dependent on air transportation
as previously hypothesized. Air transportation appears to be more important
for services-producing industries and for personal travel. This presentation
highlights recent work investigating industry location preferences based on
air service availability. This research has supported the hypothesis that company
headquarters are more likely to be located near air service than most other
industries or the general population. Examples of recent headquarters relocations
have also been investigated with regards for the impact of such moves on improving
access to air transportation.
Flight test evaluation of eDME performance enhancements
Enhanced distance measuring equipment (eDME) is proposed as a non-GNSS alternate
Positioning, Navigation and Timing (PNT) solution for NextGen aviation. Cm-level
displacement accuracy is demonstrated with DME carrier phase. This, combined
with DME pseudoranging, allows for various methods that increase the accuracy
and integrity of the Positioning, Velocity, and Timing (PVT) solution. Carrier
Smoothed Pseudorange (CSP) significantly reduces pseudorange noise and multipath.
Next, variations in Pseudorange Minus Carrier (PMC) are used to bound the potential
pseudorange bias. Finally, the Pseudorange Noise MultiPath (PNMP) algorithm
combines CSP and PMC to achieve meter-level ranging accuracy with integrity,
which is demonstrated using recent flight-test results.
Simulator Architecture for L-Band Terrestrial Radionavigation
Aviation requires an alternate to GNSS Positioning, Navigation, and Timing,
which most likely will be an L-band terrestrial radionavigation solution. An
efficient development and detailed performance assessment of these potential
future systems requires a high-fidelity simulation environment. This presentation
presents a simulator architecture currently under development by Ohio University
which will be able to accurately simulate the various error sources of ground
and air equipment as well as L-band propagation.
Advanced Display Concepts in Support of NextGen
In support of NextGen Air Transportation System goals, FAA-funded research
into advanced cockpit display concepts is underway at Ohio University. In partnership
with recognized experts in the field from TU Delft in The Netherlands, implications
of NextGen are being studied from the the pilots' perspective to identify display
concepts that will fill information gaps existing in the current NAS system.
A broad literature search has been performed identifying the main theoretical
and experimental results on cockpit display-related issues over the past decade,
and an analysis is underway to help bring the current study into focus. A part-task
simulator is being assembled at OU that will be used for pilot studies of concepts
such as Conflict Probing and the Energy Management Primary Flight Display,
and the current status of construction is reported.
Data-Based gPC for Uncertainty Quantification in Wing Icing
The formation and accretion of ice on an airplane - in particular, on the wings
- is a phenomenon which is problematic for aircraft performance. Icing can
significantly alter airflow over the wing by inducing separation earlier, which
could affect the lift curve , lower the aerodynamic efficiency, or lead to
stall at lower angles of attack. This work aims to quantify the uncertainties
in various aircraft performance metrics (ex.-- stability derivatives) which
arise due to uncertainty in wing icing conditions/parameters. This is achieved
using a data-based generalized Polynomial Chaos (gPC) framework. The first
step in this methodology is to approximate the cumulative distribution function
(CDF) which describes the uncertainty in a particular aircraft performance
metric arising due to uncertainty in some wing icing parameters. This can be
achieved in a variety of ways (ex.-- Monte Carlo simulations). Once this has
been done, the CDF is orthogonally projected onto the span of a complete orthogonal
basis set consisting of polynomials of a stochastic variable (ex.-- Hermite
polynomials). This projection is truncated at a finite number of modes. Once
this procedure has been repeated for a wide range of input icing uncertainty
conditions, linear regression and interpolation may be performed to attain
a single matrix which maps from some arbitrary input uncertainty to a finite
number of modes which approximate the CDF/PDF of the resulting output uncertainty.
Sensitivity analysis in perturbed leading edge wing simulations [for icing
In order to begin our study of the aerodynamic effects of wing icing,
we assess the capabilities of computational tools to predict separated flows
over perturbed wing geometriesand the sensitivity of the simulation to the
Modeling of unsteady flow over a wing at high angles of attack
The unsteady flow over an infinite wing at high angles of attack is studied. Through
Reynolds-Averaged Navier-Stokes simulations, sinusoidal and pitch-up maneuvers
were conducted. The response in lift was used to construct linear reduced order
models. In addition, longitudinal dynamics were investigated, in particular
stability of the short period and phugoid modes. Future directions includes
more maneuvers, further development of reduced-order models and investigations
of stability in lateral-directional modes of motion.
For additional information, please contact:
Phone (617) 253-4926 • Fax (617) 253-4196