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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Format: | Dissertations |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/83259 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
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.
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