Postgraduate Diploma in Microsim/Macrosim and Proxy Hardware
Online 800-hour Postgraduate Diploma in Microsim/Macrosim and Proxy Hardware. 8 modules covering FMI 3.0, ASAM OSI and SUMO. Assigned tutor and open enrolment.
Take the controls.
Run a real engineering trade-off from this programme. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Choose the appropriate simulation scale for each study.
Apply macroscopic flow and assignment models.
Calibrate microscopic models of drivers and automated vehicles.
Couple models of different scales consistently.
Select proxy hardware representative of the final target.
Model the performance of on-board computing.
Integrate simulated traffic with proxy hardware in closed loop.
Who it's for
- Traffic simulation engineer who wants to specialise in Microsim/Macrosim and Proxy Hardware.
- Transport modeller who wants to specialise in Microsim/Macrosim and Proxy Hardware.
- On-board computing architecture engineer who wants to specialise in Microsim/Macrosim and Proxy Hardware.
- Virtual validation engineer who wants to specialise in Microsim/Macrosim and Proxy Hardware.
- Automated vehicle impact analyst who wants to specialise in Microsim/Macrosim and Proxy Hardware.
- Systems integration engineer who wants to specialise in Microsim/Macrosim and Proxy Hardware.
- Graduates in engineering or sciences seeking to join traffic authorities.
What you'll work with
- FMI 3.0
- ASAM OSI
- ASAM OpenSCENARIO
- Highway Capacity Manual 7th Edition
- ISO 26262-8:2018
- ASAM XIL
- Reglamento (UE) 2022/1426
8 modules · 800 h
1.1Macrosimulation, mesosimulation and microsimulation1.2Flow variables: flow rate, density and speed1.3Fundamental traffic diagram1.4Choosing the scale according to the study question1.5Submicroscopic and vehicle-level simulation1.6Hybrid multiscale simulation1.7Input data by scale1.8Typical errors when changing scale1.9Computational cost by scale1.10Case study: selecting the scale to study automated vehicle penetration
2.1LWR model and shock waves2.2Cell transmission model2.3Second-order models2.4Static assignment and Wardrop equilibrium2.5Dynamic traffic assignment2.6BPR link cost functions2.7Capacity according to the Highway Capacity Manual2.8Effect of automated vehicles on capacity2.9Calibration with detector data2.10Laboratory: cell transmission model in Python
3.1Car-following models: IDM, Gipps and Wiedemann3.2Lane-change models: MOBIL3.3Modelling ACC and CACC3.4Driver heterogeneity3.5Social force pedestrian models3.6Interaction at intersections and roundabouts3.7Calibration with real trajectories3.8Validation with surrogate safety indicators3.9Stochasticity and number of replications3.10Practice: calibrating IDM with the highD dataset
4.1Interfaces between macro and micro zones4.2Flow conservation at boundaries4.3Mesosimulation as a bridge4.4Co-simulation with FMI and TraCI4.5Network scenarios with detailed zones4.6Synchronisation of time steps4.7Demand consistency across scales4.8ADS impact studies at urban scale4.9Visualisation of multiscale results4.10Workshop: hybrid model of a corridor with Aimsun
5.1Proxy hardware as a substitute for the final target5.2Development platforms versus production ECUs5.3Equivalence of computing, memory and latency5.4Sensor proxies with commercial hardware5.5Scale vehicles and robotic platforms5.6Limitations of representativeness5.7Traceability between proxy and final hardware5.8Cost and early availability5.9Risks of decisions taken on the proxy5.10Case study: selecting a proxy for a central controller
6.1Profiling perception and planning workloads6.2End-to-end latency models6.3Queuing models and task scheduling6.4Injecting latencies and jitter in simulation6.5Power consumption and thermal models6.6Performance scaling between proxy and target6.7Quantisation and its effect on accuracy6.8Validation of the performance model6.9Feedback to architecture design6.10Laboratory: profiling a detector on NVIDIA Jetson
7.1Simulated traffic feeding real hardware7.2Closed loop with proxy in real time7.3High-density scenarios for computing stress7.4Latency measurement under load7.5Comparison with pure simulation results7.6Use of ASAM OSI as an interface7.7Test bench configuration management7.8Credibility of results obtained with a proxy7.9Reports for architecture decisions7.10Practice: SUMO bench with on-board computing proxy
8.1Defining the study question8.2Macroscopic network model8.3Detailed microscopic zone8.4Calibration and validation8.5Selection of proxy hardware8.6Closed-loop integration8.7Latency and capacity analysis8.8Architecture recommendations8.9Report and presentation8.10Final review with the tutor
How you'll learn
Fully 100 % online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetable: students progress at their own pace within the intake, which makes it possible to combine it with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is SUMO, Aimsun Next, PTV Visum, NVIDIA Nsight Systems, MATLAB/Simulink, in free, academic or evaluation versions. Tests are studied using real procedures for calibrating traffic models with real trajectories, multiscale simulation of urban corridors, and latency profiling on proxy hardware. Assessment is continuous per module plus the final integrating project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Choose the appropriate simulation scale for each study.
Apply macroscopic flow and assignment models.
Calibrate microscopic models of drivers and automated vehicles.
Couple models of different scales consistently.
Select proxy hardware representative of the final target.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. No university degree is required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient Spanish-language proficiency to follow technical standards reading.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme consists of 800 hours in total, spread over 6 to 8 months. That is between 10 and 15 hours per week on average, compatible with a full-time job.
You work with SUMO, Aimsun Next, PTV Visum, NVIDIA Nsight Systems, MATLAB/Simulink. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
An own diploma from SEIUM upon passing the continuous assessment and the integrating project. It is in-house training, not an official title from the Ministry.
Yes. Modules passed in a course or postgraduate diploma in the same area are credited towards the advanced programme. Check the credit recognition policy when you enrol.
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