Statistical characterization of deviations from planned flight trajectories in air traffic management

  title={Statistical characterization of deviations from planned flight trajectories in air traffic management},
  author={Christian Bongiorno and G{\'e}rald Gurtner and Fabrizio Lillo and Rosario N. Mantegna and Salvatore Miccich{\`e}},
  journal={Journal of Air Transport Management},

Assessing Airport Landing Efficiency Through Large-Scale Flight Data Analysis

  • M. Zanin
  • Environmental Science
    IEEE Access
  • 2020
It is shown how open large-scale data sets of aircraft trajectories can be used to characterise the efficiency of flights landing at an airport, measured through the time and distance flown below 10,000 feet.

Advanced Quantification of Weather Impact on Air Traffic Management

This paper used unsupervised learning to cluster performance impacts at the airport and classify the respective weather data with recurrent and convolutional neural networks, showing that a classification is possible and allows estimates of delay including weather and flight plan data at an airport.


The research aims to develop a search engine program that uses dynamic flight parameters that considers fusion of System Wide Information Management (SWIM) data including weather data and NOTAM to produce the most optimum route in 2D flight planning.

An empirically grounded agent based model for modeling directs, conflict detection and resolution operations in air traffic management

An agent based model of the Air Traffic Management socio-technical complex system aiming at modeling the interactions between aircraft and air traffic controllers at a tactical level and is able to reproduce the existence of a geographical localization of air Traffic controllers’ operations is presented.

Weather Impact on Airport Performance

To provide an efficient method to capture the impact of weather, the modelled departing and arrival delays with probability distributions, which depend on airport size and meteorological impacts, could be used in comprehensive air traffic network simulations to evaluate the network impact caused by weather induced local performance deterioration.

A Survey on Artificial Intelligence (AI) and eXplainable AI in Air Traffic Management: Current Trends and Development with Future Research Trajectory

This paper analyses how the general and ATM eXplainable Artificial Intelligence (XAI) works, analysing where and why XAI is needed, how it is currently provided, and the limitations, and synthesises the findings into a conceptual framework, named the DPP (Descriptive, Predictive, Prescriptive) model, and provides an example of its application in a scenario in 2030.



Adaptative air traffic network: Statistical regularities in air traffic management

This network which exhibits different features for different European countries is studied, finding that some countries tend to make more deviations when the traffic conditions are low and they tend to concentrate the deviations in a few number of nodes, especially during daytime.

Jamming transition in air transportation networks

Modeling Reactionary Delays in the European Air Transport Network

In the framework of SESAR WP-E TREE project, a model for characterizing and forecasting the spreading of reactionary delays through the European Network is developed, with promising agreement with empirical flight performance data.

Defining dynamic route structure for airspace configuration

A parametric analysis determined the algorithm input parameters producing route structures of current day flight plans that are closest to today's airway structure, and these parameters were used to define and analyse the dynamic route structure over the course of a day forCurrent day flight paths.

Systemic delay propagation in the US airport network

There is a non-negligible risk of systemic instability even under normal operating conditions and passenger and crew connectivity is identified as the most relevant internal factor contributing to delay spreading.

A Hybrid Metaheuristic Optimization Algorithm for Strategic Planning of 4D Aircraft Trajectories at the Continental Scale

This work presents a strategic trajectory planning methodology which aims to minimize interaction between aircraft at the European-continent scale and develops and implements a hybrid-metaheuristic optimization algorithm for large trajectory sets.

Statistical analysis of airport network of China.

  • W. LiX. Cai
  • Physics
    Physical review. E, Statistical, nonlinear, and soft matter physics
  • 2004
Through the study of airport network of China (ANC), composed of 128 airports (nodes) and 1165 flights (edges), we show the topological structure of ANC conveys two characteristics of small worlds, a


A discrete model based on cellular automata and multi agent systems to express the congestion dynamics and complexity in the controlled airspace is suggested and results show the existence of a traffic threshold that leads to a theoretical saturation of airspace.

Analysis of the Chinese air route network as a complex network

The Chinese air route network (CARN) is found to be a geographical network possessing exponential degree distribution, low clustering coefficient, large shortest path length and exponential spatial distance distribution that is obviously different from that of the Chinese airport network (CAN).