DEVELOPMENT OF A COMPREHENSIVE SIMULATION MODEL OF THE AIR TRAFFIC MANAGEMENT SYSTEM IN THE TERMINAL CONTROL AREA

The escalating flight traffic density within the Terminal Control Area (TMA) poses heightened safety risks. Mitigating these risks requires an efficient Air Traffic Management (ATM) system, incorporating complexity and workload components yet absent in current models. The research contribution up...

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Bibliographic Details
Main Author: Medianto, Rully
Format: Dissertations
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/83259
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:The escalating flight traffic density within the Terminal Control Area (TMA) poses heightened safety risks. Mitigating these risks requires an efficient Air Traffic Management (ATM) system, incorporating complexity and workload components yet absent in current models. The research contribution updates existing conventional models by developing an ATM simulation model that integrates air traffic complexity and controller workload. This model aims to evaluate TMA control performance specifically for arrival scenarios. In this research, the complexity level was determined by six factors: aircraft density, number of climbing aircraft, number of descending aircraft, mix of aircraft types, number of conflicts and differences in aircraft speed. By simulating various test sectors, this research measure the impact of augmenting flight traffic complexity and controller workload within the ATM model. The simulation finds previously undetected workloads and communication lags, particularly evident in physically complex control sectors such as in sectors that have merging points. Through a case study evaluating control performance in Jakarta TMA, the simulation revealing a substantial workload disparity across sectors and time in Jakarta TMA. The linear trend of the average controller workload for hourly movements of the test sector can be employed to estimate the value of the controller workload in sectors with similar trajectory characteristics. The model can serves as a tool to assess the ramifications of novel operational procedures, such as the Point Merge System, on control performance.