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CourseAerospace, UAM, Drones & Space Applications open

Urban air traffic simulation course

Online course of 300 hours in urban air traffic simulation: 6 modules covering urban air traffic modelling, simulation tools, traffic management algorithms, scenarios and experimentation, and metrics and results analysis, with an assigned technical tutor.

Duration300 hours · 3 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute certificate
Enrol now View syllabus Ask an advisor
Virtual lab · try it before you enrol

Take the controls.

Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.

SIM · LIVE ●
Learning outcomes

What you will be able to do

01

Build urban air traffic simulation models.

02

Use BlueSky and other simulation tools.

03

Implement conflict detection and resolution algorithms.

04

Design rigorous simulation experiments.

05

Calculate safety, capacity and efficiency metrics.

06

Validate models and analyse results statistically.

07

Evaluate UAM traffic scenarios of increasing density.

Profile

Who it's for

  • Air traffic simulation engineers
  • Airspace capacity analysts
  • UTM researchers
  • Navigation algorithm developers
  • Air mobility consultants
  • Transport data scientists
  • Engineering or science graduates looking to move into air navigation
Standards & tools

What you'll work with

  • Implementing Regulation (EU) 2021/664 (U-space regulatory framework)
  • ASTM F3548 (UAS traffic management interoperability)
  • EUROCAE ED-269 (UAS geographical zone data)
  • ICAO Doc 9854 (global ATM operational concept)
  • ICAO Doc 4444 (PANS-ATM) (air traffic management procedures)
  • Implementing Regulation (EU) 923/2012 (SERA) (standardised European rules of the air)
  • BlueSky ATM Simulator
  • AnyLogic
  • MATSim
  • SUMO
  • Python
Syllabus

6 modules

  1. 1.1Objectives of UAM simulation
  2. 1.2Macroscopic and microscopic simulation
  3. 1.3Discrete-event simulation
  4. 1.4Agent-based simulation
  5. 1.5eVTOL performance models
  6. 1.6Representation of urban airspace
  7. 1.7Synthetic demand generation
  8. 1.8Temporal and spatial scales
  9. 1.9Validation of the performance model
  10. 1.10Practical exercise: conceptual model of a UAM network
  1. 2.1TU Delft BlueSky simulator
  2. 2.2BlueSky scenario language
  3. 2.3Python plugins
  4. 2.4AnyLogic for ground operations
  5. 2.5MATSim for multimodal demand
  6. 2.6SUMO and coupling with road traffic
  7. 2.7AirSim for 3D urban scenarios
  8. 2.8Co-simulation architectures
  9. 2.9Scenario visualisation interface
  10. 2.10Workshop: first traffic scenario in BlueSky
  1. 3.1Conflict detection
  2. 3.2Resolution by velocity fields
  3. 3.3Repulsive force methods
  4. 3.44D trajectory planning
  5. 3.5Route allocation on urban graphs
  6. 3.6Strategic deconfliction of flight plans
  7. 3.7Sequencing at vertiports
  8. 3.8Holding and diversion management
  9. 3.9Priority management in conflicts
  10. 3.10Lab: conflict resolution with MVP in BlueSky
  1. 4.1Design of simulation experiments
  2. 4.2Scenarios of increasing density
  3. 4.3Influence of wind and meteorology
  4. 4.4Failures and contingencies
  5. 4.5Integration with delivery drones
  6. 4.6Interaction with helicopters
  7. 4.7Replications and random seeds
  8. 4.8Sensitivity analysis
  9. 4.9Impact of communication failures
  10. 4.10Case study: corridor capacity with crosswind
  1. 5.1Losses of separation and intrusions
  2. 5.2Flight efficiency and delays
  3. 5.3Airspace capacity
  4. 5.4Fleet energy consumption
  5. 5.5Cumulative noise on the ground
  6. 5.6Trajectory visualisation
  7. 5.7Statistical analysis of results
  8. 5.8Model validation
  9. 5.9Analysis of low-occupancy routes
  10. 5.10Practical exercise: results dashboard in Python
  1. 6.1Definition of the urban area
  2. 6.2Vertiport and route network
  3. 6.3Demand generation
  4. 6.4Scenario implementation
  5. 6.5Conflict management algorithm
  6. 6.6Simulation campaign
  7. 6.7Metrics analysis
  8. 6.8Discussion of results and limitations
  9. 6.9Report and presentation
  10. 6.10Final project: final review with the tutor
Methodology, software & labs

How you'll learn

100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within the intake, so you can combine it with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is BlueSky ATM Simulator, AnyLogic, MATSim, SUMO and Python, in free, academic or evaluation versions. Exercises are based on real procedures for simulation of urban route networks, evaluation of conflict resolution algorithms and airspace capacity studies. Assessment is continuous by module, plus the final integrative project.

Standards covered: Implementing Regulation (EU) 2021/664, ASTM F3548, EUROCAE ED-269, ICAO Doc 9854, ICAO Doc 4444 (PANS-ATM), Implementing Regulation (EU) 923/2012 (SERA).

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of Implementing Regulation (EU) 2021/664, ASTM F3548 and EUROCAE ED-269 applied to real cases, not as a theoretical annex.
Industry software:BlueSky ATM Simulator, AnyLogic, MATSim, SUMO and Python, in free, academic or evaluation versions.
Final project:an urban traffic simulation project, from demand generation to metrics analysis, reviewed by your tutor.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

UAM network model
Build the conceptual model of a UAM network with synthetic demand.
BlueSky scenario
Implement a traffic scenario in BlueSky.
Conflict resolution
Apply MVP conflict resolution and test it under crosswind.
Results dashboard
Analyse safety, capacity and efficiency metrics in a Python dashboard.
Final project
Deliver a complete urban traffic simulation with a vertiport network, conflict management algorithm, simulation campaign and discussion of results.
Career opportunities

Where this takes you

Air traffic simulation engineerAirspace capacity analystUTM researcherNavigation algorithm developerAir mobility consultantTransport data scientist
Admissions & scholarships

Requirements

  • No prior qualification is required.
  • Internet connection and a computer capable of running the programme software.
  • English sufficient to read technical standards.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

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FAQ

Frequently asked questions

The programme totals 300 hours over 3 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with BlueSky ATM Simulator, AnyLogic, MATSim, SUMO and Python, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.

A SEIUM Institute certificate, awarded on passing the continuous assessment and the final project. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.

Yes. Modules passed are recognised in a higher programme in the same area (postgraduate diploma or master's). Ask about the recognition policy when you enrol.

No prior qualification is required; you need an internet connection, a computer able to run the programme software and English sufficient to read technical standards.

Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.

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