National Airspace System Simulation Capturing the Interactions of Air Traffic Management and Flight Trajectories

Couluris, George J; Hunter, Chris; Blake, Matthew; Roth, Karlin R.; Sweet, Doug; Stassart, Philippe; Phillips, James D.; Huang, Alex S.

doi:10.2514/6.2003-5597

Cited by 25 publications

(6 citation statements)

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“…The challenge is selecting and configuring a comprehensive yet efficient software platform and set of modules to represent the physical layer/data link layer/networking techniques and provide an appropriate level of accuracy. Several air traffic simulators, including NASA's Airspace Concepts Evaluation System (ACES) [7] and Airspace and Traffic Operations Simulation (ATOS) [8], can model current and near-term CNS systems. However, modeling future networking concepts will require significant development within each of these simulation environments.…”

Section: Simulation Assessmentmentioning

confidence: 99%

Hyper-spectral networking concept of operations and future air traffic management simulations

Davis

Boisvert

2017

2017 IEEE/AIAA 36th Digital Avionics Systems Conference (DASC)

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The NASA sponsored Hyper-Spectral Communications and Networking for Air Traffic Management (ATM) (HSCNA) project is conducting research to improve the operational efficiency of the future National Airspace System (NAS) through diverse and secure multi-band, multi-mode, and millimeter-wave (mmWave) wireless links. Worldwide growth of air transportation and the coming of unmanned aircraft systems (UAS) will increase air traffic density and complexity. Safe coordination of aircraft will require more capable technologies for communications, navigation, and surveillance (CNS). The HSCNA project will provide a foundation for technology and operational concepts to accommodate a significantly greater number of networked aircraft. This paper describes two of the HSCNA project's technical challenges. The first technical challenge is to develop a multi-band networking concept of operations (ConOps) for use in multiple phases of flight and all communication link types. This ConOps will integrate the advanced technologies explored by the HSCNA project and future operational concepts into a harmonized vision of future NAS communications and networking. The second technical challenge discussed is to conduct simulations of future ATM operations using multi-band/multi-mode networking and technologies. Large-scale simulations will assess the impact, compared to today's system, of the new and integrated networks and technologies under future air traffic demand.

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Section: Simulation Assessmentmentioning

confidence: 99%

Hyper-spectral networking concept of operations and future air traffic management simulations

Davis

Boisvert

2017

2017 IEEE/AIAA 36th Digital Avionics Systems Conference (DASC)

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“…ACES [1][2][3][4] is a distributed, non-real time, discrete-event computer simulation of local, regional and nationwide air traffic operations in the U.S. National Airspace System (NAS). ACES models individual aircraft flights from terminal gate departure to arrival, simulating flight movement through taxi-out, runway takeoff, climb, cruise, descent, runway landing, taxi-in and gate arrival.…”

Section: Advanced Concept Evaluations Systemmentioning

confidence: 99%

A new modeling capability for airport surface traffic analysis

Couluris¹,

Fong

Downs

et al. 2008

2008 IEEE/AIAA 27th Digital Avionics Systems Conference

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Surface Traffic Limitations Enhancement (STLE) is a NASA-developed advanced modeling capability for simulating airport surface aircraft movement. STLE augments NASA's Advanced Concept Evaluations System (ACES), which is a fast-time computer simulation of nationwide airport and airspace traffic operations. STLE expands ACES software logic and data inputs and outputs to simulate individual aircraft surface trajectories through an airport's terminal gate/ramp, taxiway and runway system. STLE models surface operations using a link-node modeling structure. The modeling simulates aircraft motion dynamics, tracks the movement of each flight, assesses the traffic situation, determines route assignment, detects and resolves potential conflicts, considers node required/planned crossing time constraints, and evaluates traffic throughput and delay. Inputs include specification of link and node graph components, gate and runway configurations, operating rules and procedures, and traffic and airport operating conditions schedules, typically for a 24-hour study period. Output statistics describe transit time and delay by flight and traffic loading as well as queues and transit times by link and node.Node transit control governs actual movement of each aircraft from a link into a node and movement from a node into a link, which determines delay propagation through the surface network. STLE distinguishes sequencing nodes (e.g., taxiway intersections) and complex nodes (e.g., gate, gate group) functions. Link transit control supports this nodal network analysis process by managing traffic movement along each link to deliver aircraft to a node. STLE provides a system of working pluggable modules that represent current operations. These pluggable modules are the foundation for subsequent replacement and supplemental models.

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“…The second dealt with the presumed difficulty in modeling the item for inclusion in planned concept assessment simulations. Modeling and simulation of the concepts are expected to be performed using the Airspace Concept Evaluation System 13,14 (ACES) developed by NASA, and so the measure of difficulty of modeling is based on the ACES functionality anticipated to be available for assessment in the near future. The levels of benefits are determined based on the expected contribution of a given item to improvements in the following capacity and efficiency metrics: (i) delay, (ii) capacity, (iii) throughput, and (iv) fuel consumption.…”

Section: B Selection Of Items For Inclusion In Modeling Considerationsmentioning

confidence: 99%

“…This study is tied to simulation assessments being planned to be conducted using NASA's Airspace Concepts Evaluation System (ACES) software 13,14 . ACES has been in continuous development for the past decade and provides a capability for simulating flights in the NAS from gate to gate.…”

Section: B Aces Modeling Considerationsmentioning

confidence: 99%

Modeling Requirements to Support Assessment of NextGen Mid-Term Performance

Cheng

Sweriduk

Vaddi

et al. 2009

9th AIAA Aviation Technology, Integration, and Operations Conference (ATIO)

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The Next Generation Air Transportation System (NextGen) Concept of Operations addresses air transportation operations in the 2025 timeframe. Although NextGen is expected to include revolutionary solutions for handling the anticipated increase in demand in the National Airspace System (NAS) in this timeframe, implementation of the new systems and procedures will still have to evolve over time. Assessment of NextGen performance needs to address the target timeframe of 2025, as well as reasonably defined intermediate time points to understand its progression. The FAA has released its NextGen Implementation Plan (NGIP) to address the FAA's portion of the work needed to realize NextGen, covering the FAA's plan through the mid-term period of 2018. This NGIP serves as a good source of information to assess the NextGen mid-term performance as a transitional step towards the envisioned 2025-timeframe NextGen. This paper describes a study to establish the mid-term NextGen performance for defining scenarios for analyses of integrated concepts, technologies, and procedures under development in NASA's Airspace Systems Program amidst projected FAA infrastructure development. The study involves a two-step process: it starts with a careful analysis of the NGIP documents in conjunction with an extensive literature search to identify research results applicable to NextGen to sort out the concepts, activities, and technologies, resulting in a proposed subset of these items; the process then focuses on the selected NGIP items to recommend modeling options to support simulation assessment of NextGen mid-term performance.

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National Airspace System Simulation Capturing the Interactions of Air Traffic Management and Flight Trajectories

Cited by 25 publications

References 0 publications

Hyper-spectral networking concept of operations and future air traffic management simulations

Hyper-spectral networking concept of operations and future air traffic management simulations

A new modeling capability for airport surface traffic analysis

Modeling Requirements to Support Assessment of NextGen Mid-Term Performance

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