← Back to NASA Technology Projects
Statistical Decision Support Tools for System-Oriented Runway Management
Completed
TRL 7 (started at 5, targeting 7)
Description
The feasibility of developing a statistical decision support system for traffic flow management in the terminal area and runway load balancing was demonstrated in the Phase I research. The methodology employed an advanced estimation algorithm based on a queuing network model of the runway and the terminal area, and statistical decision theory to formulate traffic flow decisions. Radar data from the San Francisco terminal area was used in the feasibility demonstration. Component technologies developed in Phase I work can be used for synthesizing real-time statistical decision support tools for runway configuration management and arrival/departure scheduling. Phase II work will use the Phase I algorithms for developing decision support tools for NASA's System-Oriented Runway Management program elements. Queuing networks of runways, taxiways, gates, and terminal airspace will form the foundation of the decision support tool. Predicted demand, historic traffic data and real-time measurements will be combined in an estimator to generate the statistical distributions of the queuing network parameters. These will then be used in conjunction with methods from Statistical Decision Theory to generate actionable decisions. Phase II research will develop a software package implementing these algorithms, which can be evaluated in human-in-the-loop and operational settings during the Phase III work.
Benefits
Queuing network models for describing traffic flow, queuing network parameter estimation methods, and statistical decision support tools developed under the Phase II research are useful in a wide variety of road and rail traffic flow control problems. These methods also have several applications in logistics, production planning and control, and in other problems in Operations research.
Statistical decision support tools for runway configuration management and arrival/departure scheduling developed under the Phase II work will be useful in NASA's SORM program. The methodology for developing queuing network based estimators are useful in several traffic flow management concepts being considered under the NextGen program.
Details
| Technology area | Aerospace Power and Energy Storage > Power Generation and Energy Conversion > Photovoltaic Electrical Power |
| Program | Small Business Innovation Research/Small Business Tech Transfer (SBIR/STTR) |
| Lead organization | Optimal Synthesis, Inc., Los Altos, CA |
| Start date | 2011-06-01 |
| End date | 2013-05-31 |
Project contacts
Listed on TechPort itself — the most direct way to ask about this specific project.
How to get involved
This is a mature technology (TRL 7) — the realistic path in is usually NASA's Technology Transfer Program: licensing an existing NASA patent, or a Space Act Agreement to use NASA facilities/expertise directly. NASA also runs a startup licensing program with no upfront fee for companies formed to commercialize a specific NASA technology.
None of these are guaranteed paths for this specific project — TechPort itself doesn't have an "apply" button. Reaching out to the contact(s) above with a specific question is usually the fastest way to find out what's actually open.