The following research will address the ways by which the Adelaide Air Traffic Control operates and the issues that are faced during the operations of the ATC tower. The research will investigate the different issues and then provide a clear explanation on each such issues accordingly.
The purpose of the research is to identify the operating system of Adelaide Air Traffic Control and find out the main issues behind the disruptive operations of the ATC tower.
The aim of the research will be to find out the style of operations of the ATC tower and also the reasons behind the different problems that is faced by the operators of the Adelaide Air Traffic Control Tower.
The objectives of the research are as follows;
The research question for this particular research will be;
H0- Air Traffic Control in Adelaide is suffering because of the digitalization of operations
H1- Air Traffic Control in Adelaide is not suffering because of the digitalization of operations
The choice of the research topic is unique in nature. The identification of the different types of the problems like handling too many aircrafts and working with a limited workforce and the reasons behind such problems forms the main significance of the research.
Air Traffic Control
As per Strohmeier et al. (2014) Air Traffic Control can be defined as the system of different organizational and technological measures that helps to ensure order and safety of the aircraft during its travelling process. The safety is maintained through constant watch of the Air Traffic Controllers over the sky and staying in constant communication with the pilots and the aircraft crews over radio communication and computing.
Adelaide Air Traffic Control and Problems
The increase in the passenger traffic and fleet movement in Adelaide International Airport led to the drastic change in the Air Traffic Control centre in the airport. The new air traffic control center is equipped with the latest state of the art digitalized technologies. The installation of the latest IBM machineries and the use of the navigation satellites to keep a constant watch over the Australian airspace is one of the main features of the ATC tower. The implementation and the use of the satellite based anti collision systems are recent additions to the operating system of Adelaide ATC. The operations of the ATC are maintained properly but some issues have recently crippled up. One of the main problems is the transition of the services from the old to the new system. According to, Gardi et al. (2015) there are many systems that are based on old technologies but the management of the ATC has to continue with the systems because of the urgency of the task they carry. The transformation in such case can only be done once the airport is closed for a few hours. The next problem lies with the rise in the number of air traffic with passing time and the increasing pressure of the staffs to manage such a rise. The increase in the number of workforce, change in the shift timings and using alternative airports to divert excessive traffic can be some of the main solutions in this case.
Introduction
The following chapter will provide the methodological tools that will be needed to complete the particular research.
Research Design
The three most widely used designs in research are exploratory, explanatory and descriptive. The three different designs are unique in nature and each of them have their own characteristics. The descriptive research designs will be used in the following research.
Justification for the Selection of the Research Design
The following research will be conducted based on the descriptive research design which will be providing the exact opportunity for the researcher to clarify the hypothesis of the research along with the main idea about the elements of the research.
Research Strategy
Different research strategies are case study, action research, survey and interview. The interview along with the survey methods will be used in the following research.
Justification for the Selection of the Research Strategy
The particular research will be using the survey research strategy to construct the following research. The following research strategy will help the researcher to collect data from the industrial perspective or in one word data will be collected mainly from the people who are involved with this particular profession.
Sampling Technique and Sampling Size
Generally probability and non probability sampling techniques are used to conduct the sampling. The following research will be using the non probability sampling technique.
Justification for the Selection of the Sampling Technique and Sampling Size
The non probability sampling technique will be used to derive the results. A small number of just 50 persons will be involved in the collection of the data related to the research. The research participants will be the people who work in the particular professional sector.
The research will be using the secondary data collection technique for the conduction of this particular research. The secondary data will involve the use of the related books, journals and different literary articles.
Justification for the Selection of the Data Collection Technique
The secondary data collection techniques will be used to complete the formalities of the research. The research will use the books, journals, secondary data sources and other research articles based on Air Traffic Control which will act as the secondary source.
The secondary data analysis techniques will involve thorough analysis of the books and journals selected for the collection of data.
Justification for the Selection of the Data Analysis Technique
The primary data will be analyzed through the collection, review and the sorting out of the results of the findings.
Ethical Considerations
Ethics is considered to be one of the most important elements in the total research process. The researcher needs to ensure the safety and security of the research participants and their responses along with ensuring honesty and integrity.
Timeline and Gantt chart
|
Task Name |
Duration |
Start |
Finish |
|
Project1 |
77 days |
Thu 9/6/18 |
Fri 12/21/18 |
|
Selection of the Research Topic |
1 day |
Thu 9/6/18 |
Thu 9/6/18 |
|
Approval of the Research Topic |
1 day |
Fri 9/7/18 |
Fri 9/7/18 |
|
Identification of the primary data |
10 days |
Mon 9/10/18 |
Fri 9/21/18 |
|
Collection of the primary data |
15 days |
Mon 9/24/18 |
Fri 10/12/18 |
|
Analysis of the Primary Data |
15 days |
Mon 10/15/18 |
Fri 11/2/18 |
|
Submission of Draft |
1 day |
Mon 11/5/18 |
Mon 11/5/18 |
|
Identification of the Secondary Data |
5 days |
Tue 11/6/18 |
Mon 11/12/18 |
|
Collection of the Secondary Data |
5 days |
Tue 11/13/18 |
Mon 11/19/18 |
|
Analysis of the Secondary Data |
12 days |
Tue 11/20/18 |
Wed 12/5/18 |
|
Submission of the second draft |
1 day |
Thu 12/6/18 |
Thu 12/6/18 |
|
Compiling of all the data |
10 days |
Fri 12/7/18 |
Thu 12/20/18 |
|
Final Submission |
1 day |
Fri 12/21/18 |
Fri 12/21/18 |
Table No 1: Timeline
Source: (As created by the Author)
Figure No 2: Gantt chart
Source: (As created by the Author)
References
Aricò, P., Borghini, G., Di Flumeri, G., Colosimo, A., Pozzi, S. and Babiloni, F., 2016. A passive brain–computer interface application for the mental workload assessment on professional air traffic controllers during realistic air traffic control tasks. In Progress in brain research (Vol. 228, pp. 295-328). Elsevier.
Berry, K.A., Sawyer, M.W. and Hinson, J., 2015. Developing Quantitative Air Traffic Risk-Benefit Pathways for Class Delta Airports: Improving Small Tower Operations.
Cook, A., Blom, H.A., Lillo, F., Mantegna, R.N., Micciche, S., Rivas, D., Vázquez, R. and Zanin, M., 2015. Applying complexity science to air traffic management. Journal of Air Transport Management, 42, pp.149-158.
Gardi, A., Sabatini, R., Kistan, T., Lim, Y. and Ramasamy, S., 2015, April. 4 Dimensional trajectory functionalities for air traffic management systems. In Integrated Communication, Navigation, and Surveillance Conference (ICNS), 2015 (pp. N3-1). IEEE.
Giacoponello, C. and Kefaliotis, J., 2016. Out with the old: addressing the challenges and costs of the aging US air traffic control infrastructure. JOURNAL OF AIR TRAFFIC CONTROL.
Irfan, M., Bull, M.J., Clinch, A.T. and Pember, S.J., Nats (En Route) PLC, 2017. Air traffic control. U.S. Patent 9,754,494.
Kirkwood, A. and Price, L., 2014. Technology-enhanced learning and teaching in higher education: what is ‘enhanced’and how do we know? A critical literature review. Learning, media and technology, 39(1), pp.6-36.
Kontogiannis, T., Malakis, S. and McDonald, N., 2017. Integrating operational and risk information with system risk models in air traffic control. Cognition, Technology & Work, 19(2-3), pp.345-361.
Leveson, N., 2015. A systems approach to risk management through leading safety indicators. Reliability Engineering & System Safety, 136, pp.17-34.
Martin, L., Bienert, N., Claudatos, L., Gujral, V., Kraut, J. and Mercer, J., 2016, September. Effects of task allocation on air traffic management human-automation system performance. In Digital Avionics Systems Conference (DASC), 2016 IEEE/AIAA 35th (pp. 1-8). IEEE.
Mitra, D., Pham, C.S. and Bandyopadhyay, S., 2018. Terrorism and international air travel: A gravity approach. The World Economy.
Myr, D., 2018. Automatic real-time air traffic control system and method for maximizing landings/takeoffs capacity of the airport and minimizing aircrafts landing times. U.S. Patent Application 10/037,704.
Strohmeier, M., Schafer, M., Lenders, V. and Martinovic, I., 2014. Realities and challenges of nextgen air traffic management: the case of ADS-B. IEEE Communications Magazine, 52(5), pp.111-118.
Takeichi, N., Kaida, R., Shimomura, A. and Yamauchi, T., 2017. Prediction of delay due to air traffic control by machine learning. In AIAA Modeling and Simulation Technologies Conference (p. 1323).
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