Methodology for the generation of air traffic scenarios based on recorded traffic data

Oaks, Robert D.; Liu, Shurong Liu Shurong; Zhou, Dongmei; Paglione, Mike; Hughes, W. J.

doi:10.1109/dasc.2003.1245861

Cited by 6 publications

(4 citation statements)

References 3 publications

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“…CPAT developed the scenario generation process described in [6]. This process consists of three steps: (1) data extraction, where the recorded traffic data is used to populate a set of relational database tables; (2) data modification, where the data in the tables may be manipulated for test purposes; and (3) scenario generation, where scenarios are created based on the traffic data retrieved from the modified database tables.…”

Section: Scenario Time Shiftingmentioning

confidence: 99%

Time Shifting Air Traffic Data for Quantitative Evaluation of a Conflict Probe

Paglione¹,

Hughes²,

Oaks³

et al. 2003

AIAA Guidance, Navigation, and Control Conference and Exhibit

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A conflict probe is an air traffic management decision support tool that predicts aircraft-to-aircraft and aircraft-to-airspace conflicts. In order to achieve the confidence of the air traffic controllers who are provided this tool, a conflict probe must accurately predict these conflicts. This paper discusses how a conflict probe's quantitative accuracy requirements can be tested using hypothesis testing techniques. The paper also asserts that air traffic scenarios based on recorded field data are essential to the evaluation of a conflict probe and states that time shifting these scenarios can create data samples necessary to perform the hypothesis testing. This paper then compares three time shifting techniques: time compression, random time adjustment, and an implementation of a genetic algorithm.

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Section: Scenario Time Shiftingmentioning

confidence: 99%

Time Shifting Air Traffic Data for Quantitative Evaluation of a Conflict Probe

Paglione¹,

Hughes²,

Oaks³

et al. 2003

AIAA Guidance, Navigation, and Control Conference and Exhibit

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“…ACT-250 did this by changing the start times of the aircraft flights through time-shifting. 3 This created the necessary number of encounters between the aircraft while retaining the actual routes and profiles the aircraft originally flew. While it would have been possible to generate scenarios meeting the desired constraints through trial and error, it was desirable to calculate these changes algorithmically.…”

Section: Introductionmentioning

confidence: 99%

A Study on the Feasibility of Using a Genetic Algorithm to Generate Realistic Air Traffic Scenarios Based on Recorded Field Data

Oaks¹,

Hughes²

2002

AIAA Guidance, Navigation, and Control Conference and Exhibit

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“…There are systems similar to these, such as Eurocontrol Traffic Sample Generator (TSG) [1], or TRAFGEN, within PITOT by AENA [2] and similar efforts, based in modifications of recorded data, has been published recently [3]. Many of the systems for scenario preparation are based on real traffic cloning or deletion by a human user.…”

Section: Introductionmentioning

confidence: 99%

Traffic analysis and synthetic scenario generation for ATM operational concepts evaluation

Besada

Portillo

Miguel

et al. 2009

2009 IEEE/AIAA 28th Digital Avionics Systems Conference

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This paper describes a pair of systems which can be used to obtain realistic traffic samples in a Sector/TMA from a given real traffic database. Those are a Traffic Analyzer and a Traffic Pattern Generator. These two systems allow the ATM engineer to both gain insight on the traffic structure of the area under analysis and to obtain statistically significant samples for the evaluation of operational concepts and procedure changes, perform analysis of ATM performance under traffic changes, …

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Methodology for the generation of air traffic scenarios based on recorded traffic data

Cited by 6 publications

References 3 publications

Time Shifting Air Traffic Data for Quantitative Evaluation of a Conflict Probe

Time Shifting Air Traffic Data for Quantitative Evaluation of a Conflict Probe

A Study on the Feasibility of Using a Genetic Algorithm to Generate Realistic Air Traffic Scenarios Based on Recorded Field Data

Traffic analysis and synthetic scenario generation for ATM operational concepts evaluation

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