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Air traffic management system business process analysis for the development of information exchange interoperability framework

Awang Man, Anwar and Che Hussin, Ab. Razak and Okfalisa Saktioto, Okfalisa Saktioto (2023) Air traffic management system business process analysis for the development of information exchange interoperability framework. In: 8th International Congress on Information and Communication Technology, ICICT 2023, 20 February 2023 - 23 February 2023, London, England.

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Official URL: http://dx.doi.org/10.1007/978-981-99-3243-6_74

Abstract

Air traffic management (ATM) system is one of the tools that is used to manage and control air traffic by providing air traffic controllers the information needed to make effective and safe decisions in their daily operations. The source of data for ATM system comes from various sub-system within the air traffic management ecosystem. These data are fused together to form valuable information for use by the air traffic controllers in making accurate and safe decisions. As the volume of air traffic increases, the current method of exchanging data has become a challenge to the interoperability between ATM system and its sources of data. A modern and end effective way needs to be established to address this issue. Understanding of each business process for each sub-system that contribute these data is important to identify the interoperability issues and challenges in exchanging these data. This paper focuses to identify the current business process involved in ATM system information exchanges within the Civil Aviation Authority of Malaysia (CAAM) through brainstorming method. Findings from the brainstorming session will be documented using mind mapping method and the identified business processes involved will be documented by using the BPMN 2.0 notation. The findings will then be further use to develop a usable and logical information exchange interoperability framework for CAAM ATM System.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Air Traffic Management (ATM), ASBU, ATM system, business process, information exchange, interoperability, SWIM
Subjects:H Social Sciences > HD Industries. Land use. Labor
Divisions:Management
ID Code:108319
Deposited By: Yanti Mohd Shah
Deposited On:22 Oct 2024 08:09
Last Modified:22 Oct 2024 08:09

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