Airport traffic simulation course
About our
The Airport Traffic Simulation Course provides comprehensive training in modeling and analyzing air traffic flow at airports. It focuses on the use of specialized software to simulate the movement of aircraft, ground vehicles, and personnel, optimizing airspace management and operational efficiency. The course covers the application of agent-based simulation and discrete event simulation techniques to evaluate runway design, terminal capacity, and queue management, addressing critical aspects such as safety, capacity, and resource optimization. In addition, concepts of conflict detection and avoidance, air traffic flow management, and compliance with aviation safety regulations are included. Participants will acquire practical skills in using simulation tools, developing realistic models of airport operations, and analyzing complex scenarios to identify bottlenecks and opportunities for improvement. The course prepares participants for professional roles in airport planning, air traffic consulting, and airport operations management, fostering data-driven decision-making and continuous efficiency improvement.
Airport traffic simulation course
- Format: Hybrid
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 2
349 $
Competencies and results
What you will learn
1. Airport Air Traffic Simulation and Management: Total Domain
- Master the fundamental principles of air traffic simulation.
- Implement air traffic management systems in complex airport environments.
- Use simulation tools to optimize traffic flow efficiency.
- Analyze and predict air traffic behavior in different scenarios.
- Manage emergency and contingency situations in airport airspace.
- Apply international standards and regulations in air traffic management.
- Develop leadership and decision-making skills in critical environments.
- Evaluate and continuously improve air traffic management processes.
- Understand the interrelationship between airports, airlines, and air traffic control.
- Simulate and analyze the impact of meteorological variables on air traffic.
- Use data and analysis for decision-making based on evidence.
2. In-depth Analysis of Airport Traffic Simulation
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2. In-Depth Analysis of Airport Traffic Simulation
- Identification and evaluation of critical factors in air flow management: runway capacity, delays, and route optimization.
- Advanced scenario simulation: modeling of aircraft, trajectories, and weather conditions.
- Application of optimization algorithms: slot management, gate assignment, and reduction of waiting times.
- Real-time data analysis: air traffic monitoring, bottleneck detection, and evaluation of operational efficiency.
- Implementation of simulation tools: use of specialized software for analysis and strategic decision-making in airports.
- Design of strategies for continuous improvement: performance evaluation, identification of areas for improvement, and development of innovative solutions.
3. Comprehensive user-oriented design and validation (from modeling to manufacturing)
You will learn to integrate the entire product development process, from initial model conception to final validation, applying user-centered methodologies. You will develop skills in parametric design, ergonomics, simulation, sustainable materials, 3D visualization, and manufacturing management, ensuring efficient, safe solutions that meet current industry standards.
4. Optimization and Simulation of Airport Airflow
- Modeling and simulation of airflow in airport environments, including takeoffs, landings, and taxiing.
- Optimization of runway and taxiway configurations to minimize congestion and improve efficiency.
- Analysis of the dispersion of atmospheric pollutants generated by air and ground traffic at the airport.
- Simulation of emergency scenarios, such as fires and aircraft accidents, to evaluate response and evacuation times.
- Implementation of strategies for air traffic flow management and optimization of approach and departure procedures.
- Evaluation of the impact of meteorological conditions, such as wind and visibility, on airport operations.
- Use of specialized software for airport airflow simulation and analysis, such as CFD (Computational Fluid Dynamics).
- Development of predictive models for noise management and
- Reduction of noise pollution in areas near the airport.
- Application of optimization techniques for flight route planning and airport capacity management.
- Analysis of the interaction between airflow and airport structures, such as buildings and control towers.
5. Advanced Air Traffic Simulation: Airport Strategies and Applications
- Master the modeling and simulation of complex air traffic systems.
- Understand discrete event and agent-based simulation methodologies.
- Apply simulation techniques for airport capacity optimization.
- Analyze and predict aircraft flow on aprons and taxiways.
- Evaluate the impact of factors such as weather and airspace management on traffic.
- Use simulation tools for airport design and planning.
- Study strategies for congestion management and delay reduction.
- Explore the application of simulation for the evaluation of new airport technologies.
- Implement simulation models for risk analysis and operational safety.
- Develop skills for interpreting results and making simulation-based decisions.
6. Airport Air Traffic Simulation: Analysis, Control and Optimization
6. Airport Air Traffic Simulation: Analysis, Control, and Optimization
Understand the fundamentals of airport air traffic simulation.
Become familiar with the mathematical models used to represent aircraft flow.
Analyze the factors that influence airport capacity and efficiency.
Study different air traffic control strategies, including arrival and departure management.
Learn how to optimize airport processes to reduce delays and improve safety.
Use simulation software to evaluate the performance of airport operations.
Identify and mitigate air traffic bottlenecks.
Analyze the impact of emerging technologies, such as drones and unmanned aircraft systems, on air traffic.
Apply the acquired knowledge to improve airport planning and management.
Develop decision-making skills for emergency and contingency situations in the airport sector.
Who this program is for:
Airport traffic simulation course
- Graduates in Aerospace Engineering, Mechanical, Industrial, Automatics or similar.
- OEM rotorcraft/eVTOL professionals, MRO, consulting, technology centers.
- Flight Test, certification, avionics, control and dynamics who seek specialization.
- Regulators/authorities and UAM/eVTOL profiles that require compliance competencies.
- Standards-driven curriculum: you will work with CS-27/CS-29, DO-160, DO-178C/DO-254, ARP4754A/ARP4761, ADS-33E-PRF from the first module.
- Accreditable laboratories (EN ISO/IEC 17025) with rotor bench, EMC/Lightning pre-compliance, HIL/SIL, vibrations/acoustics.
- Evidence-oriented TFM: safety case, test plan, compliance dossierand operational limits.
- Mentored by industry: teachers with experience in rotorcraft, tiltrotor, eVTOL/UAM and flight test.
- Flexible modality (hybrid/online), international cohorts and support from SEIUM Career Services.
- Ethics and security: safety-by-design approach, cyber-OT, DIH and compliance as pillars.
Module 1 — Introduction to Airport Simulation
1.1 Fundamentals of Airport Simulation
1.2 Key Components of Airport Air Traffic
1.3 Importance of Simulation in Airport Planning
1.4 Common Simulation Tools and Software
1.5 Airport Simulation Methodology: A Step-by-Step Approach
1.6 Data Collection and Analysis for Simulation
1.7 Scenario Design and Traffic Modeling
1.8 Validation and Verification of Simulation Models
1.9 Interpretation of Results and Decision Making
1.10 Practical Applications of Simulation in Airports
2.2 Fundamentals of Airport Air Traffic Simulation
2.2 Airport and Airspace Modeling
2.3 Air Traffic Data Collection and Analysis
2.4 Key Parameters in Airport Simulation
2.5 Simulation Software and Tools
2.6 Flight and Taxi Operations Simulation
2.7 Airport Capacity Analysis
2.8 Bottleneck Identification and Mitigation
2.9 Evaluation of Air Traffic Management Strategies
2.20 Interpretation and Presentation of Simulation Results
3.3 Fundamentals of Airport Air Traffic Simulation
3.2 Airport Modeling and Simulation
3.3 Simulation Tools and Software
3.4 Data Analysis and Metrics in Simulation
3.5 Scenario Design and Case Studies
3.6 Air Flow Management and Bottlenecks
3.7 Airport Capacity Optimization
3.8 Emergency and Contingency Simulation
3.9 Integrating Simulation into Airport Planning
3.30 Future Trends in Air Traffic Simulation
4.4 Air Traffic Scenario Modeling and Simulation
4.2 Airport Simulation Tools and Software
4.3 Simulation Data Analysis: Interpretation and Visualization
4.4 Airport Capacity Optimization through Simulation
4.5 Congestion and Bottleneck Management in Simulation
4.6 Evaluating the Impact of New Technologies on Air Flow
4.7 Design and Simulation of Air Traffic Control Procedures
4.8 Simulation of Air-Ground Traffic Interaction
4.9 Capacity Planning and Resource Allocation at Airports
4.40 Case Studies: Applying Simulation to Real Airports
5.5 Introduction to Advanced Simulation: Key Concepts
5.5 Detailed Air Traffic Modeling: Components and Variables
5.3 Critical Event Simulation: Scenario Analysis
5.4 Route Optimization and Flight Scheduling
5.5 Airport Capacity Analysis and Bottlenecks
5.6 Real-Time Data Integration and Predictive Analytics
5.7 Incident Simulation and Emergency Response
5.8 Evaluation of Air Traffic Management Strategies
5.9 Applications of Advanced Simulation in Airports
5.50 Advanced Simulation Tools and Software
6.6 Introduction to Air Traffic Simulation: Key Concepts
6.2 Modeling Airport Scenarios: Tools and Techniques
6.3 Air Traffic Data Analysis: Identifying Patterns and Bottlenecks
6.4 Air Flow Control: Strategies and Methodologies
6.5 Route Optimization and Flight Scheduling
6.6 Simulating Disruptive Events: Delays, Cancellations, and Emergencies
6.7 Airport Capacity Assessment and Performance Analysis
6.8 Implementing Simulations: Software and Platforms
6.9 Key Performance Indicators (KPIs) in Air Traffic Simulation
6.60 Case Studies: Applying Simulation to Real Airports
- Hands-on methodology: test-before-you-trust, design reviews, failure analysis, compliance evidence.
- Software (depending on licenses/partners): MATLAB/Simulink, Python (NumPy/SciPy), OpenVSP, SU2/OpenFOAM, Nastran/Abaqus, AMESim/Modelica, acoustics tools, planning toolchains DO-178C.
- SEIUM Laboratories: scale rotor bench, vibrations/acoustics, EMC/Lightning pre-compliance, HIL/SIL for AFCS, data acquisition with strain gauging.
- Standards and compliance: EN 9100, 17025, ISO 27001, GDPR.
Capstone-type projects
Admissions, fees, and scholarships
- Profile: Background in Computer Engineering, Mathematics, Statistics, or related fields; practical experience in NLP and valued information retrieval systems.
- Documentation: Updated CV, academic transcript, SOP/statement of purpose, project examples or code (optional).
- Process: Application → Technical evaluation of profile and experience → Technical interview → Review of case studies → Final decision → Enrollment.
- Fees:
- Single payment: 10% discount.
- Payment in 3 installments: No fees; 30% upon registration + 2 equal monthly payments of the remaining 35%.
Monthly payment: available with a 7% commission on the total; annual review.
Scholarships: based on academic merit, financial need, and promoting inclusion; agreements with companies in the sector for partial or full scholarships.
See “Calendar & Calls for Applications,” “Scholarships & Grants,” and “Fees & Financing” in the SEIUM mega-menu.
Do you have any questions?
Our team is ready to help you. Contact us, and we will respond as soon as possible.
F. A. Q
Frequently asked questions
Yes, we have international certification
Yes: experimental models, real data, applied simulations, professional environments, real case studies.
It is not mandatory. We offer leveling tracks and tutoring.
Completely. It covers e-propulsion, integration, and emerging regulations (SC-VTOL).
Recommended. There are also internal challenges and consortiums.
Yes. Online/hybrid modality with planned labs and visa support (see “Visa & Residence”).