Trajectory Clustering and Classification for Characterization of Air Traffic Flows

2016 ◽  
Author(s):  
Mayara Conde Rocha Murca ◽  
Richard DeLaura ◽  
R John Hansman ◽  
Richard Jordan ◽  
Tom Reynolds ◽  
...  
Keyword(s):  
Air Traffic ◽  
Traffic Flows ◽  
Trajectory Clustering ◽  
Clustering And Classification

scholarly journals Trajectory Clustering within the Terminal Airspace Utilizing a Weighted Distance Function

Proceedings ◽  
2020 ◽  
Vol 59 (1) ◽  
pp. 7
Author(s):  
Samantha J. Corrado ◽  
Tejas G. Puranik ◽  
Oliva J. Pinon ◽  
Dimitri N. Mavris
Keyword(s):  
Anomaly Detection ◽  
Distance Function ◽  
Euclidean Distance ◽  
Air Traffic ◽  
Detection Methods ◽  
Traffic Flows ◽  
Trajectory Clustering ◽  
Trajectory Prediction ◽  
Euclidean Distance Function ◽  
Definition Of

To support efforts to modernize aviation systems to be safer and more efficient, high-precision trajectory prediction and robust anomaly detection methods are required. The terminal airspace is identified as the most critical airspace for individual flight-level and system-level safety and efficiency. To support successful trajectory prediction and anomaly detection methods within the terminal airspace, accurate identification of air traffic flows is paramount. Typically, air traffic flows are identified utilizing clustering algorithms, where performance relies on the definition of an appropriate distance function. The convergent/divergent nature of flows within the terminal airspace makes the definition of an appropriate distance function challenging. Utilization of the Euclidean distance is standard in aviation literature due to little computational expense and ability to cluster entire trajectories or trajectory segments at once. However, a primary limitation in the utilization of the Euclidean distance is the uneven distribution of distances as aircraft arrive at or depart from the airport, which may result in skewed classification and inadequate identification of air traffic flows. Therefore, a weighted Euclidean distance function is proposed to improve trajectory clustering within the terminal airspace. In this work, various weighting schemes are evaluated, applying the HDBSCAN algorithm to cluster the trajectories. This work demonstrates the promise of utilizing a weighted Euclidean distance function to improve the identification of terminal airspace air traffic flows. In particular, for the selected terminal airspace, if trajectory points closer to the border of the terminal airspace, but not necessarily at the border, are weighted highest, then a more accurate clustering is computed.

Representative Time Series Fractal Analysis of the Traffic Flows of a Dedicated High-Speed Link

2021 ◽  
Author(s):  
Ginno Millan ◽  
manuel vargas ◽  
Guillermo Fuertes
Keyword(s):  
Time Series ◽  
Traffic Flow ◽  
Long Range ◽  
Computer Networks ◽  
Fractal Analysis ◽  
High Speed ◽  
Long Range Dependence ◽  
Traffic Flows ◽  
Speed Computer

Fractal behavior and long-range dependence are widely observed in measurements and characterization of traffic flow in high-speed computer networks of different technologies and coverage levels. This paper presents the results obtained when applying fractal analysis techniques on a time series obtained from traffic captures coming from an application server connected to the internet through a high-speed link. The results obtained show that traffic flow in the dedicated high-speed network link exhibited fractal behavior since the Hurst exponent was in the range of 0.5, 1, the fractal dimension between 1, 1.5, and the correlation coefficient between -0.5, 0. Based on these results, it is ideal to characterize both the singularities of the fractal traffic and its impulsiveness during a fractal analysis of temporal scales. Finally, based on the results of the time series analyzes, the fact that the traffic flows of current computer networks exhibited fractal behavior with a long-range dependence was reaffirmed.

Design and characterization of the non-native military air traffic communications database (nnMATC)

2007 ◽  
Author(s):  
Stephane Pigeon ◽  
Wade Shen ◽  
Aaron Lawson ◽  
David A. van Leeuwen
Keyword(s):  
Air Traffic

Design of a conflict-detection air traffic control tool for the implementation of continuous climb operations: A case study at Palma TMA

2019 ◽  
Vol 233 (13) ◽  
pp. 4839-4852 ◽  
Author(s):  
Javier A Pérez-Castán ◽  
Fernando Gómez Comendador ◽  
Álvaro Rodríguez-Sanz ◽  
Rocío Barragán ◽  
Rosa M Arnaldo-Valdés
Keyword(s):  
Traffic Control ◽  
Air Traffic Control ◽  
Conflict Detection ◽  
Air Traffic ◽  
Traffic Flows ◽  
Control Intervention ◽  
Static Approach ◽  
Operational Concept ◽  
The Impact ◽  
Control Tool

Continuous climb operation is an operational concept that allows airlines to perform an optimal departing trajectory avoiding air traffic control segregation requirements. This concept implies the design and integration of air traffic flows for the sake of safety performance. This paper designs a new conflict-detection air traffic control tool based on the blocking-area concept, characterises the conflict probability between air traffic flows and assesses the impact of continuous climb operation integration in a terminal manoeuvring area. In this paper, a conflict is set out by the infringement of vertical and longitudinal separation minima and coincides with the probability of air traffic control tool usage. Moreover, this research discusses two different approaches for the conflict-detection air traffic control tool: a static approach considering nominal continuous climb operations and landing trajectories, and a dynamic approach that assesses 105 continuous climb operations and landing trajectories. Finally, the air traffic control tool is implemented using Palma TMA data and proves that out of 11 intersections (between departing and landing routes), solely 4 generate vertical separation infringements. The conflict probability between continuous climb operations and arrivals is less than 10−5. Except for one intersection, that is roughly 10−2, similar to current air traffic control intervention designed levels. Therefore, results conclude the viability of the conflict-detection air traffic control tool and continuous climb operations integration.

scholarly journals Modeling and Characterization of Traffic Flows in Urban Environments

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2020 ◽  
Author(s):  
Jorge Zambrano-Martinez ◽  
Carlos Calafate ◽  
David Soler ◽  
Juan-Carlos Cano ◽  
Pietro Manzoni
Keyword(s):  
Urban Environments ◽  
Traffic Flows

scholarly journals Optimisation models for re-routing air traffic flows in Europe

2001 ◽  
Vol 52 (12) ◽  
pp. 1338-1349 ◽  
Author(s):  
P Leal de Matos ◽  
B Chen ◽  
R J Ormerod
Keyword(s):  
Air Traffic ◽  
Traffic Flows
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