Skip Navigation
SBIR/STTR

A Queuing Model-Based System for Triggering Traffic Flow Management Algorithms, Phase I

Completed Technology Project

Project Introduction

A Queuing Model-Based System for Triggering Traffic Flow Management Algorithms, Phase I
Next generation air traffic management systems are expected use multiple software tools and quantitative methods for managing traffic flow in the National Airspace. NASA and other aerospace research centers are involved in developing advanced numerical algorithms for strategic traffic flow management. These algorithms can be invoked at fixed time intervals, or can be employed whenever adverse traffic flow conditions occur. In order to avoid spurious responses, the control algorithms should be used only when actual traffic flow problems are likely to arise, and not in response to normal flow variations. Queuing models describe the aggregate stochastic behavior of the national airspace, and can provide not only mean flow characteristics, but also the expected variations. This proposal advances the development of a queuing model-based methodology for triggering traffic flow management algorithms. The approach , based on the measured state of the national airspace system. The approach exploits recently-developed queuing models of the NAS, together with recent advances in estimation theory. Phase I research will demonstrate the feasibility of developing the traffic flow management triggering system using a simulation model of the national airspace system. Phase II research will integrate this methodology with NASA's traffic flow management algorithms, and assess the overall system performance n the ACES environment. Algorithms and software developed under the SBIR project will be delivered to NASA at the end of Phase II work. More »

Anticipated Benefits

Primary U.S. Work Locations and Key Partners

Project Library

Share this Project

Organizational Responsibility

Project Management

Project Duration

Technology Maturity (TRL)

Light bulb

Suggest an Edit

Recommend changes and additions to this project record.

This is a historic project that was completed before the creation of TechPort on October 1, 2012. Available data has been included. This record may contain less data than currently active projects.

^