scholarly journals An analysis of wildlife strikes to aircraft in Brazil: 2011-2018

2020 ◽  
Vol 10 (2) ◽  
pp. 51
Author(s):  
Flavio A.C. Mendonca ◽  
Julius Keller ◽  
Chenyu Huang
Keyword(s):  
Traffic Control ◽  
Safety Management ◽  
Economic Problem ◽  
Air Traffic ◽  
Annual Reports ◽  
Economic Losses ◽  
Traffic Operations ◽  
Descriptive Data ◽  
Aircraft Accidents ◽  
Control Department

Purpose: Aircraft accidents due to wildlife hazards have become a growing safety and economic problem to the Brazilian and international aviation industries. These safety occurrences have resulted in significant direct and indirect economic losses as well injuries and fatalities worldwide. The purpose of this study was to develop empirical information obtained from the analysis of wildlife strike and aircraft operations data in Brazil that could be used for accident prevention efforts.Design/methodology: The research team collected and analyzed aircraft operations as well as wildlife strike data from the 32 busiest commercial airports in Brazil, from 2011 through 2018. Researchers obtained the number of aircraft operations at each of those 32 Brazilian airports from the Brazilian air traffic operations annual reports published by the Air Traffic Control Department. Wildlife strike data from the studied airports were obtained from the Brazilian national wildlife strike database. Descriptive data analysis was adopted to provide an intuitive and overall trend of wildlife strikes at and the 32 busiest commercial airports in Brazil.Findings: Results indicate that the number of wildlife strikes at and around the investigated airports increased 70% even though the number of aircraft operations at these airports declined by 12% during the period studied. Birds were involved in 88% of the reported events. Most reported strikes (59%) and damaging strikes (39%) occurred during the arrival phases-of-flight. Most (33%) strikes were reported by airport personnel. A finding of concern was that the majority of wildlife strikes (97%) and damaging wildlife strikes (96%) occurred within the airport environment.Originality/value: The current project contributes to the safety management of wildlife hazards in Brazil by conducting a comprehensive analysis of wildlife strike and aircraft operations data (2011-2018) in the 32 busiest Brazilian commercial airports. 

scholarly journals Probabilistic Prediction of Unsafe Event in Air Traffic Control Department Based on the Improved Backpropagation Neural Network

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Yong Liao ◽  
Zhiyang Miao ◽  
Changqi Yang
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Traffic Control ◽  
Air Traffic Control ◽  
Safety Management ◽  
Mapping Method ◽  
Air Traffic ◽  
Occurrence Rate ◽  
Sigmoid Function ◽  
Control Department

Air traffic control is an important tool to ensure the safety of civil aviation. For the departments that do the work of air traffic control, reducing the percentage of unsafe event is the core task of safety management. If the relationship between the percentage of unsafe event and their influencing factors can be effectively clarified, then the probability of unsafe event in some control department can be predicted. So, it is of great importance to improve the level of safety management. To quantitatively estimate the probability of unsafe event, a three-layer BP neural network model is introduced in this paper. First, a probabilistic representation of unsafe event related to air traffic control department is made, and then, the probability of different classes of unsafe events and safe events is taken as the outputs of the BP neural network, the factors influencing occurrence of unsafe event connected with air traffic control is taken as inputs, and the sigmoid function is chosen as activation function for the hidden layer. Based on the error function of neural network, it is proved that the general BP neural network has two drawbacks when used for the training of small probability events, which are as follows: the pattern does not ensure that the sum of probability of all events is equal to one and the relative error between the actual outputs and desired outputs is very large after the training of neural network. The reason proved in this paper is that the occurrence rate of the unsafe event is much smaller than that of the safe event, resulting in each weight in the hide layer being subjected to the desired outputs of the safe event when using the gradient descent method for network training. To address this issue, a new mapping method is put forward to reduce the large difference of the desired outputs between the safe event and unsafe event. It is theoretically proved that the mapping method proposed in this paper can not only improve the training accuracy but also ensure that the sum of probability is equal to one. Finally, a numeric example is given to demonstrate that the method proposed in this paper is effective and feasible.

Economic Impact of a Lightning Strike–Induced Outage of Air Traffic Control Tower

2015 ◽  
Vol 2501 (1) ◽  
pp. 76-84 ◽  
Author(s):  
Wenzhe Ding ◽  
Jasenka Rakas
Keyword(s):  
Traffic Control ◽  
Air Traffic Control ◽  
Air Traffic ◽  
Lightning Strike ◽  
Economic Losses ◽  
Lightning Protection ◽  
National Airspace System ◽  
Lightning Strikes ◽  
Atc Tower

This research investigates how lightning strike–induced outages of airport infrastructure and facilities affect airport performance from an economic perspective, using Baltimore (Maryland)–Washington (D.C.) Thurgood Marshall International (BWI) Airport as a case study. On September 12, 2013, lightning struck within 300 m of the air traffic control (ATC) tower at BWI, causing injury and ATC tower and airport closures. The study findings reveal that the economic losses of the outage-related delays from that single event were almost five times higher than the ATC tower refurbishment that was planned, but unimplemented, in support of lightning protection, grounding, bonding, and shielding (LPGBS). The aim of this research is to support FAA's mission to better understand and quantify consequences of lightning strike–induced outages on airport performance. The research methodology and results can assist FAA in making sound decisions in support of LPGBS, and thereby help protect the National Airspace System infrastructure from lightning strikes and extreme weather and related delays.

scholarly journals A Digital Twin-Based Platform towards Intelligent Automation with Virtual Counterparts of Flight and Air Traffic Control Operations

2021 ◽  
Vol 11 (22) ◽  
pp. 10923
Author(s):  
Cho Yin Yiu ◽  
Kam K. H. Ng ◽  
Ching-Hung Lee ◽  
Chun Ting Chow ◽  
Tsz Ching Chan ◽  
...  
Keyword(s):  
Decision Making ◽  
Traffic Control ◽  
Air Traffic Control ◽  
Human Error ◽  
Air Traffic ◽  
Traffic Operations ◽  
Collaborative Decision Making ◽  
Complicated Process ◽  
System Robustness ◽  
Collaborative Decision

Automation technologies have been deployed widely to boost the efficiency of production and operations, to trim the complicated process, and to reduce the human error involved. Nevertheless, aviation remains human-centred and requires collaboration between different parties. Given the lack of a collaborative decision-making training platform for air traffic operations in the industry, this study utilises the concept of cyber-physical systems (CPS) to formulate a system architecture for pilots and air traffic control officers training in collaborative decision making by linking and integrating the virtual counterparts of flights and air traffic control operations. Collaborative decision-making training and the corresponding intelligent automation aids could be realised and supported. A performance analysis via a flight task undertaken with different computational load settings was prepared to evaluate the platform’s latency and integrity. The latency is presented using its 95% confidence interval, and integrity is presented using the percentage of data loss during wireless transmission. The results demonstrated convincing performance and a promising system robustness in both domains.

Gray Correlation Analysis of Human Factors for Unsafe Events in Air Traffic Control

2012 ◽  
Vol 490-495 ◽  
pp. 1135-1139
Author(s):  
Wei Zhen Tang
Keyword(s):  
Human Factors ◽  
Traffic Control ◽  
Air Traffic Control ◽  
Safety Management ◽  
Correlation Method ◽  
Air Traffic ◽  
Practical Significance ◽  
Communication Problems ◽  
Gray Correlation ◽  
Traffic Control System

This thesis demonstrates a systematical analysis of factors resulting in unsafe events in air traffic control with gray correlation method. According to the case study of one ATM Bureau from 2004 to 2008, most of the human factors are attributed to communication problems between pilots and controllers. Therefore, this research is of great practical significance in improving and perfecting the safety management of air traffic control system.

scholarly journals Aviation Safety in South Sudan

2021 ◽  
Vol 04 (08) ◽  
Author(s):  
Ayiei Garang Deng Ayiei ◽  
Keyword(s):  
Traffic Control ◽  
South Sudan ◽  
Aviation Safety ◽  
Air Traffic ◽  
Poor Compliance ◽  
Civil Aviation ◽  
Technical Failure ◽  
Aircraft Accidents ◽  
Aviation Accidents ◽  
Pilot Error

Africa contributes only 3.9% in air traffic, but records 19% of aviation accidents, in terms of fatalities. High accident rates are attributed to poor compliance with International Civil Aviation Organization (ICAO) Standards and Recommended Practices (SARPs). This study analyzed the prevalence of aircraft accidents in the youngest African country, South Sudan, which obtained independence in July 9, 2011. The quantitative study examined aviation accident databases to determine the number of aircraft accidents in South Sudan, the aircraft manufacturers and aircraft models, number of fatalities, and causes of accidents, categorized as pilot error, technical failure, air traffic control, or weather-related events. The accidents were collected from the Aviation Safety Network (ASN) database, which is maintained by the Flight Safety Foundation. A total of 83 accident cases were examined, with 32 satisfying the criteria of accidents covering the July 2011 to May 2021 period. The findings show that Antonov aircrafts account for a majority of the accidents (31.25%), followed by Cessna (21.88%) and LET (15.63%). The 32 aircrafts involved in the accidents were carrying 378 occupants, 72 occupants died, representing a fatality rate of 19.5%. Antonov (66.67%) and LET (27.7%) contributed the greatest fatalities. In terms of accident causes, technical failures (46.9%) and pilot errors (43.8%) were the most dominant causes. Weather-related conditions only contributed to 9.4% of all the cases investigated. These results show that South Sudan continues to suffer from poor aviation infrastructure, poor compliance to internationally recognized SARPs.

scholarly journals Safety Management System in Croatia Control Ltd.

2012 ◽  
Vol 21 (4) ◽  
pp. 279-284
Author(s):  
Stanislav Pavlin ◽  
Vedran Sorić ◽  
Dragan Bilać ◽  
Igor Dimnik ◽  
Daniel Galić
Keyword(s):  
Traffic Control ◽  
Air Traffic Control ◽  
Management System ◽  
Safety Management ◽  
Air Traffic ◽  
Civil Aviation ◽  
Special Focus ◽  
International Civil Aviation Organization ◽  
Safety Management System ◽  
Navigation Service

International Civil Aviation Organization and other international aviation organizations regulate the safety in civil aviation. In the recent years the International Civil Aviation Organization has introduced the concept of the safety management system through several documents among which the most important is the 2006 Safety Management Manual. It treats the safety management system in all the segments of civil aviation, from carriers, aerodromes and air traffic control to design, construction and maintenance of aircraft, aerodromes, those who produce instruments, equipment and parts for the needs of civil aviation and others. This paper presents and partly deals with the documents from the safety management system domain and the system implementation in Croatia with special focus on the Croatia air navigation service provider, Croatia Control Ltd. KEY WORDS: safety management system, safety, air traffic control

scholarly journals THE USE OF THE ANALYTIC HIERARCHY PROCESS FOR ADMISSION TO AN AIR TRAFFIC CONTROL DEPARTMENT

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Mustafa Özdemir ◽  
Müjgan Sağır Özdemir
Keyword(s):  
Analytic Hierarchy Process ◽  
Traffic Control ◽  
Air Traffic Control ◽  
Selection Process ◽  
Air Traffic ◽  
Analytic Hierarchy ◽  
Control Department ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process ◽  
Selection Of

Meeting the need for qualified staff in the field of air traffic control depends primarily on selection of appropriate candidates among many applicants. The selection of competent air traffic controllers, who play a vital role in the air traffic system, is of critical importance and is usually conducted through multi-stage examinations. It is also important to use correct methods in the selection process in order to identify the most suitable candidates. In particular, the application of subjective examinations, such as interviews in a standard way, and determination and standardization of criteria can assist in selecting the right candidates. Within this context, the student selection process in an air traffic control department is investigated, with the aim of supporting the interview examination through the Analytic Hierarchy Process. The criteria weighting is determined by expert opinion. Thirty-nine candidates are ranked according to the AHP, with the current and proposed rankings being compared. As a result, the ranking has changed significantly with the proposed approach.

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