Air Traffic Surveillance — Building Capacity and Enhancing Safety

2002 ◽  
Vol 35 (9) ◽  
pp. 266-270
Author(s):  
Andrew Rose
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
Primary Objective ◽  
Air Traffic ◽  
Limiting Factor ◽  
Traffic Surveillance ◽  
Safety Issues ◽  
Potential Safety ◽  
Near Term ◽  
Traffic Management System

Surveillance of aircraft is a key requirement of any effective air traffic control system. Classical methods of surveillance, both ground-to-air and air-to-air, have their limitations depending upon the environment in which they are used. These limitations primarily manifest themselves in terms of cost and capacity, with surveillance capability already being a limiting factor in the growth of air traffic in certain regions. Various methods and applications are being developed to overcome surveillance limitations on air traffic growth, the primary objective of which is to enable increased traffic flows whilst enhancing the existing levels of safety. Developments underway in various regions of the world are considering both near-term and longer-term enhancements to surveillance capability as part of a more effective air traffic management system. One prime focus of these developments is a shift away from classical ‘active’ surveillance to a ‘passive’ surveillance based system where the aircraft is responsible for providing the necessary surveillance data rather than the interrogating system. Such an approach can provide significant enhancements in terms of cost and capacity but also brings potential safety risks that need to be effectively managed, particularly during the transition. The objective of this paper is to outline the benefits that such a transition could provide whilst highlighting some of the key safety issues and how they could be addressed. The paper concludes with a vision of a future air traffic surveillance system and a safe transition towards it.

Ensuring the implementation of the modernized structure and automation of air traffic control processes in the area of responsibility of the Moscow district of air traffic control

2018 ◽  
pp. 46-54
Author(s):  
A. V. Strukova
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
Air Traffic Control ◽  
Management System ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Security System ◽  
System Description ◽  
Functional Capabilities ◽  
Traffic Management System

The article considers the new automated air traffic management system «Synthesis AR4», as well as a system description for ensuring the implementation of a modernized airspace structure, navigation and surveillance that provides technical capabilities. A number of functional capabilities and advantages of the airspace security system are presented.

Air Traffic Control Separation Minima: Part 1 – The Current Stasis

2011 ◽  
Vol 64 (3) ◽  
pp. 449-465 ◽  
Author(s):  
Peter Brooker
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
Air Traffic Control ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Present System ◽  
Risk Modelling ◽  
Safety Issues ◽  
Strategic Plans ◽  
The World

Current strategic plans for air traffic management (ATM) envisage a transition from radar control to a trajectory-based system. The future ATM concepts are very different in a great number of aspects from the present system. The focus here is on the design of safe systems, in particular the appropriate air traffic control (ATC) separation minima. This Part 1 sketches the historical origins of ATC separation minima and then analyses the safety thinking behind current minima and the issues involved in risk modelling. Why have the critical minima largely remained unchanged for several decades – stasis? Part 2 then addresses key safety issues in the transition to the new ATM concept.‘Give me a lever long enough and a fulcrum on which to place it, and I shall move the world.’ Archimedes.

scholarly journals Insights of Models for Air Traffic Management System

2019 ◽  
Vol 8 (3S3) ◽  
pp. 459-467
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Flow Management ◽  
Air Traffic Flow Management ◽  
Traffic Flow Management ◽  
The Usa ◽  
Comprehensive Survey ◽  
Traffic Management System

In many airports and air markets, congestion problems & weather are becoming more and more severe. To keep Air Traffic Control (ATC) against the overload of Air Traffic Flow Management (ATFM) activity, attempts to anticipate and prevent the resulting overload and limit the delays. A delay in the arrival of the flight (so-called congestion) occurs when the traffic expects to surpass the arrival and departure capacity of the airport or the airsector capacity. There is a very extensive over general reasoning to be considered in this area. Generally speaking, most of the references found in the literature published a few years ago refer to the simplest versions, those that do not take airsector into account. This happens because the research was first done in the USA only, where traffic issues basicallylimited to the airports congestion. In the paper we present a comprehensive survey of the key optimization models of literature.

scholarly journals Advanced Flight Planning and the Benefit of In-Flight Aircraft Trajectory Optimization

2021 ◽  
Vol 13 (3) ◽  
pp. 1383
Author(s):  
Judith Rosenow ◽  
Martin Lindner ◽  
Joachim Scheiderer
Keyword(s):  
New York ◽  
Traffic Control ◽  
Traffic Management ◽  
Trajectory Optimization ◽  
Service Providers ◽  
Weather Conditions ◽  
Air Traffic ◽  
Weather Data ◽  
Weather Forecasts ◽  
Aircraft Trajectory

The implementation of Trajectory-Based Operations, invented by the Single European Sky Air Traffic Management Research program SESAR, enables airlines to fly along optimized waypoint-less trajectories and accordingly to significantly increase the sustainability of the air transport system in a business with increasing environmental awareness. However, unsteady weather conditions and uncertain weather forecasts might induce the necessity to re-optimize the trajectory during the flight. By considering a re-optimization of the trajectory during the flight they further support air traffic control towards achieving precise air traffic flow management and, in consequence, an increase in airspace and airport capacity. However, the re-optimization leads to an increase in the operator and controller’s task loads which must be balanced with the benefit of the re-optimization. From this follows that operators need a decision support under which circumstances and how often a trajectory re-optimization should be carried out. Local numerical weather service providers issue hourly weather forecasts for the coming hour. Such weather data sets covering three months were used to re-optimize a daily A320 flight from Seattle to New York every hour and to calculate the effects of this re-optimization on fuel consumption and deviation from the filed path. Therefore, a simulation-based trajectory optimization tool was used. Fuel savings between 0.5% and 7% per flight were achieved despite minor differences in wind speed between two consecutive weather forecasts in the order of 0.5 m s−1. The calculated lateral deviations from the filed path within 1 nautical mile were always very small. Thus, the method could be easily implemented in current flight operations. The developed performance indicators could help operators to evaluate the re-optimization and to initiate its activation as a new flight plan accordingly.

Strategic and Tactical Functions in an Autonomous Air Traffic Management System

2021 ◽  
Author(s):  
Robert D. Windhorst ◽  
Todd A. Lauderdale ◽  
Alexander V. Sadovsky ◽  
James Phillips ◽  
Yung-Cheng Chu
Keyword(s):  
Traffic Management ◽  
Management System ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Traffic Management System

scholarly journals Development of a new method for ATFCM based on trajectory-based operations

2017 ◽  
Vol 233 (1) ◽  
pp. 261-284 ◽  
Author(s):  
Dany Gatsinzi ◽  
Francisco J Saez Nieto ◽  
Irfan Madani
Keyword(s):  
Traffic Control ◽  
Hot Spot ◽  
Control Variable ◽  
Air Traffic ◽  
New Method ◽  
Limiting Factor ◽  
Time Of Arrival ◽  
Closure Rate ◽  
Control Intervention ◽  
The Times

This paper discusses a possibility to evolve the current Air Traffic Flow and Capacity Management towards a more proactive approach. This new method focuses on reducing the expected probability of air traffic control intervention based on “hot spot” identification and mitigation at strategic level by applying subliminal changes on the times of arrival at the crossing or merging points (junctions). The concept is fully aligned with the trajectory-based operation principles. The approach assumes that the changes on the times of arrival only demand small speed changes from the involved aircraft. In this study, the hot spots are defined as clusters of aircraft expected to arrive to the junctions. Two aircraft are said to be in the same cluster if their proximity and closure rate are below a given threshold. Some exercises are proposed and solved by applying this method. The obtained results show its ability to remove the potential conflicts by applying simple linear programming. This approach seeks to change the current capacity limiting factor, established by the number of aircraft occupying simultaneously each sector, to another parameter where the level of traffic complexity, flowing towards junctions, is identified and mitigated at strategic level. The speed changes, used as the control variable and computed before or during the flight, are designed to provide an adjustment on aircraft’s required time of arrival at the junctions in order to have a de-randomised and well-behaved (conflict free) traffic. This will enable improvements in airspace capacity/ safety binomial. It is recognised that this measure alone is unable to produce a conflict free airspace, and then other collaborative and coordinated actions, such as adjusting and swapping departing times at the departing airports (before the aircraft are taking off), offsetting some flights from nominal route, and allowing multi-agent separation management (while they are in flight) should be applied together with this method.

scholarly journals Mobile Road Traffic Management System Using Weighted Sensor

2017 ◽  
Vol 11 (5) ◽  
pp. 147 ◽  
Author(s):  
Solomon Adegbenro Akinboro ◽  
Johnson A Adeyiga ◽  
Adebayo Omotosho ◽  
Akinwale O Akinwumi
Keyword(s):  
Real Time ◽  
Traffic Control ◽  
Urban Areas ◽  
Traffic Management ◽  
Management System ◽  
Road Traffic ◽  
Traffic Information ◽  
Traffic Light ◽  
Real Time Traffic ◽  
Traffic Management System

<p><strong>Vehicular traffic is continuously increasing around the world, especially in urban areas, and the resulting congestion ha</strong><strong>s</strong><strong> be</strong><strong>come</strong><strong> a major concern to automobile users. The popular static electric traffic light controlling system can no longer sufficiently manage the traffic volume in large cities where real time traffic control is paramount to deciding best route. The proposed mobile traffic management system provides users with traffic information on congested roads using weighted sensors. A prototype of the system was implemented using Java SE Development Kit 8 and Google map. The model </strong><strong>was</strong><strong> simulated and the performance was </strong><strong>assessed</strong><strong> using response time, delay and throughput. Results showed that</strong><strong>,</strong><strong> mobile devices are capable of assisting road users’ in faster decision making by providing real-time traffic information and recommending alternative routes.</strong></p>

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