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RTA Compliance Analysis: The Impact of Network Latency and Bandwidth on 4D Trajectory | MATLAB & Simulink Project

This video presents a university-level mini-project demonstrating the critical role of network quality of service (QoS) in modern Air Traffic Management (ATM). We analyze how communication delays (latency) and slow data rates (bandwidth) compromise an aircraft's ability to meet its Required Time of Arrival (RTA) target.

Project Goal & Methodology
The core goal of this project was to quantify the degradation of RTA compliance when network constraints are introduced.
Model: Developed using Simulink to simulate a simplified FMS (Flight Management System) controlling aircraft speed based on the classic RTA calculation formula: V_{cmd} = D_{toGo} / T_{toGo}.
Analysis: An MATLAB script calculates the precise Actual Time of Arrival (ATA) via interpolation and determines the final RTA Compliance Error (ATA - RTA Target).

Key Tool: MATLAB/Simulink environment.

The Experiment: Three Scenarios
We tested the RTA controller's performance across three distinct scenarios to isolate network effects:
Ideal Baseline Run: Zero Latency (\tau = 0) and Fast Update Rate (T_s = 0.1 s).
High Latency Run: High Lag (\tau = 10 s) and Fast Update Rate. Finding: Quantified the massive performance drop and high RTA error caused by stale data.
Low Bandwidth Run: Zero Latency (\tau = 0) and Slow Update Rate (T_s = 120 s). Finding: Measured the error caused by infrequent updates, leading to a 'sta kiir-step' speed profile.

Key Takeaways & Conclusion
The final results and the generated performance graph provide quantitative proof that:
Network quality directly determines the accuracy of 4D Trajectory Operations.
High Latency (\tau) often causes a more significant, non-linear increase in RTA error compared to low bandwidth.
Reliable, low-latency communication is non-negotiable for future time-based air traffic management systems.