A regression model for terminal airspace delays

2017 ◽  
Vol 121 (1239) ◽  
pp. 680-692 ◽  
Author(s):  
F. Aybek Çetek ◽  
Y.M. Kantar ◽  
A. Cavcar
Keyword(s):  
Regression Model ◽  
Traffic Flow ◽  
Traffic Management ◽  
Air Traffic ◽  
Fast Time ◽  
Total Delay ◽  
Traffic Demand ◽  
Flight Operations ◽  
Entry Points ◽  
Air Traffic Flow

ABSTRACTAir Traffic Management (ATM) research generally focuses on achieving a safer, more effective and economical air traffic system. The current airspace system has become increasingly strained as the demand for air travel has steadily grown. Innovative, proactive and multi-disciplinary approaches to research are needed to solve flight congestion and delays as a consequence of this rapid growth. As a result of this growth, air traffic flow becomes more complex, especially in Terminal Airspaces (TMA) where climb and descent manoeuvres of departing and arriving flights take place around airports. As air traffic demand exceeds the capacity in a TMA, the resultant congestion leads to delays that spread all over the system. Therefore, the reduction of delays is critical for airspace designers to increase customer satisfaction and the perception of service quality. Numerous studies have been conducted to reduce delays within TMAs. This research focuses on defining the causes of delays quantitatively through statistical analysis. The first step was to create a fast-time simulation model of sample airspace for collecting delay data. After building up this model using the SIMMOD fast-time ATM simulation tool, simulation experiments were run to produce various traffic scenarios and to generate traffic delay data. The number of airports, entry points, fixes and flight operations in airspace and the probability of wide-body aircraft were considered as independent variables. The correlations between the considered variables were analysed, and the total delay data was modelled using a linear regression model. The findings of regression model present a statistical approach for airspace designers and air traffic flow planners.

Impact of optimised trajectories on air traffic flow management

2019 ◽  
Vol 123 (1260) ◽  
pp. 157-173 ◽  
Author(s):  
J. Rosenow ◽  
H. Fricke ◽  
T. Luchkova ◽  
M. Schultz
Keyword(s):  
Traffic Flow ◽  
Air Traffic ◽  
Reference Scenario ◽  
Fast Time ◽  
Flow Management ◽  
Air Traffic Flow Management ◽  
Air Traffic Flow ◽  
Traffic Flow Management ◽  
The Impact ◽  
Trajectory Optimisation

ABSTRACTMulticriteria trajectory optimisation is expected to increase aviation safety, efficiency and environmental compatibility, although neither the theoretical calculation of such optimised trajectories nor their implementation into today’s already safe and efficient air traffic flow management reaches a satisfying level of fidelity. The calibration of the underlying objective functions leading to the virtually best available solution is complicated and hard to identify, since the participating stakeholders are very competitive. Furthermore, operational uncertainties hamper the robust identification of an optimised trajectory. These uncertainties may arise from severe weather conditions or operational changes in the airport management. In this study, the impact of multicriteria optimised free route trajectories on the air traffic flow management is analysed and compared with a validated reference scenario which consists of real flown trajectories during a peak hour of Europe’s complete air traffic in the upper airspace. Therefore, the TOolchain for Multicriteria Aircraft Trajectory Optimisation (TOMATO) is used for both the multicriteria optimisation of txrajectories and the calculation of the reference scenario. First, this paper gives evidence for the validity of the simulation environment TOMATO, by comparison of the integrated reference results with those of the commercial fast-time air traffic optimiser (AirTOp). Second, TOMATO is used for the multicriteria trajectory optimisation, the assessment of the trajectories and the calculation of their integrated impact on the air traffic flow management, which in turn is compared with the reference scenario. Thereby, significant differences between the reference scenario and the optimised scenario can be identified, especially considering the taskload due to frequent altitude changes and rescinded constraints given by waypoints in the reference scenario. The latter and the strong impact of wind direction and wind speed cause wide differences in the patterns of the lateral trajectories in the airspace with significant influence on the airspace capacity and controller’s taskload. With this study, the possibility of a successful 4D free route implementation into Europe’s upper airspace is proven even over central Europe during peak hours, when capacity constraints are already reaching their limits.

A Multi-Agent Simulation of Collaborative Air Traffic Flow Management

2009 ◽  
pp. 357-381 ◽  
Author(s):  
Shawn R. Wolfe ◽  
Peter A. Jarvis ◽  
Francis Y. Enomoto ◽  
Maarten Sierhuis ◽  
Bart-Jan van Putten
Keyword(s):  
Traffic Flow ◽  
Traffic Management ◽  
Air Traffic ◽  
Simulation Design ◽  
Flow Management ◽  
Air Traffic Flow Management ◽  
Air Traffic Flow ◽  
Traffic Flow Management ◽  
Agent Simulation ◽  
Traffic Management System

Today’s air traffic management system is not expected to scale to the projected increase in traffic over the next two decades. Enhancing collaboration between the controllers and the users of the airspace could lessen the impact of the resulting air traffic flow problems. The authors summarize a new concept that has been proposed for collaborative air traffic flow management, the problems it is meant to address, and our approach to evaluating the concept. The authors present their initial simulation design and experimental results, using several simple route selection strategies and traffic flow management approaches. Though their model is still in an early stage of development, these results have revealed interesting properties of the proposed concept that will guide their continued development, refinement of the model, and possibly influence other studies of traffic management elsewhere. Finally, they conclude with the challenges of validating the proposed concept through simulation and future work.

The Airline's Perception of Air Traffic Management

1990 ◽  
Vol 43 (2) ◽  
pp. 204-208 ◽  
Author(s):  
Colin Hume
Keyword(s):  
Traffic Flow ◽  
Traffic Management ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Flow Management ◽  
Air Traffic Flow Management ◽  
Air Traffic Flow ◽  
Traffic Flow Management ◽  
Reverse Situation

The situation today can be described as very frustrating for a variety of reasons. Air traffic flow-management (ATFM) has dominated the scene for many years since its conception in 1980. At that time, the principles of ATFM were directed at ensuring that temporary or isolated sector overloads could be handled by ATC and only when broad, prolonged overloads were expected was ATFM activated. Today, we have the reverse situation, where ATFM is active throughout 16 h or more during each day. The system as such was never intended or planned to cope with such a burden and the results are seen in a variety of forms, including departure delays as shown in Fig. 1.

scholarly journals An improved 4D trajectory modeling approach for traffic management

2021 ◽  
Author(s):  
Zhou Shen ◽  
Xiaomo Yu
Keyword(s):  
Traffic Flow ◽  
Traffic Safety ◽  
Data Model ◽  
Traffic Management ◽  
Air Transportation ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Trajectory Prediction ◽  
Air Traffic Flow ◽  
Aircraft Performance

Abstract Under the premise that the capability of existing air transportation system can no longer meet the demand of air traffic flow, 4D trajectory operation based on accuracy is the basis of future air traffic management (ATM) system to achieve the optimization of flight trajectory. This article investigates the establishment of a data model system based on aircraft performance and operation procedures, which can be applied to 4D trajectory prediction to greatly reduce or avoid the possibility of flight conflicts in the air, enhance air traffic safety and improve air traffic flow.

scholarly journals Investigation of Flight Traffic Arrangement With ICA Colonial Competition Algorithm In Air Traffic Management

2021 ◽  
Author(s):  
Mahdi Yousefzadeh Aghdam ◽  
Seyed Reza Kamel Tabbakh ◽  
Seyed Javad Mahdavi Chabok ◽  
Maryam Kheyrabadi
Keyword(s):  
Traffic Flow ◽  
Traffic Management ◽  
Mathematical Problem ◽  
Air Traffic ◽  
Flight Delays ◽  
Flow Management ◽  
Air Traffic Flow Management ◽  
Air Traffic Flow ◽  
Traffic Flow Management ◽  
Using Data

Abstract Air traffic flow management is one of the most challenging work systems in the world. The issue of aircraft traffic arrangement to prevent interference and flight delays is one of the most important issues in the field of air traffic flow management. In most researches in this field, incoming or outgoing flights are usually dealt with separately and attempts have been made to provide solutions using data mining methods, mathematical problem solving, etc.‌ To solve the problem in this paper, to select the best aircraft ready for operation (landing or takeoff), we use the ICA colonial competition algorithm, which allows selecting aircraft for incoming or outgoing flights, according to various parameters. In designing the system, an attempt has been made to make the symbols more effective in flight, to give proper weight, and to optimize the selection of colonizers according to the lower cost. To evaluate the proposed method, flight data of Mashhad airport were used for testing. The results of the system test indicate better choices for landing or flying aircraft and the acceptable performance of the colonial competition algorithm compared to the latest work done to solve the flights landing and take off sequence problem as an innovative algorithm.

The European ATC System: Constraints and Traffic Management

1990 ◽  
Vol 43 (2) ◽  
pp. 187-194 ◽  
Author(s):  
Peter Brooker
Keyword(s):  
Traffic Flow ◽  
Traffic Control ◽  
Traffic Management ◽  
Air Traffic Control ◽  
Air Traffic ◽  
Royal Institute ◽  
Air Traffic Flow

This, and the following three papers were presented at the Royal Institute of Navigation meeting ‘Management of Air Traffic Flow in Europe' on 15 November 1989.One of the growth industries in Europe is the production of articles in newspapers and programmes on radio and television which deal with European air traffic control. They usually have titles like, ‘The Crisis in ATC’, or ‘European Air Traffic Meltdown’. Jane's Airport Review, in October 1989, had an article entitled ‘Wanted: One ATC System for Europe’.

Sign in / Sign up

Export Citation Format

Share Document