Postgraduate DiplomaData, AI, Simulation & Analytics Applications open

Diploma in Micro/Macro-Sim of Networks and Traffic Signals

Online postgraduate diploma of 800 hours in micro/macro network simulation and traffic signal control: 8 modules covering traffic flow and road networks, macrosimulation, microsimulation, signal timing design, adaptive control, scenario evaluation and multi-scale integration under the Highway Capacity Manual and NTCIP 1202, with an assigned technical tutor.

Duration6–8 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma

Diploma in Micro/Macro-Sim of Networks and Traffic Signals — studying from Singapore

Singapore has invested heavily in artificial intelligence and data, under national plans coordinated by the Infocomm Media Development Authority and the AI Singapore programme. The sector spans industrial analytics, digital twins, simulation for engineering design and data platforms serving finance, logistics and healthcare. Engineers work across machine learning, data engineering and computational modelling. Employers range from global technology firms and banks to local research institutes and government-linked companies.

Fees for Singapore: S$1,560 (Singapore dollar), with instalments and employer sponsorship available.

Relevant bodies in Singapore

  • Infocomm Media Development Authority (IMDA)
  • AI Singapore
  • Personal Data Protection Commission (PDPC)
  • Singapore Computer Society

Typical roles

  • Machine Learning Engineer
  • Data Engineer
  • Simulation Engineer
  • Analytics Consultant

Questions from Singapore

Does Singapore have a recognised body for data and AI professionals, and is SEIUM recognised?

Singapore's Infocomm Media Development Authority (IMDA) and the Singapore Computer Society are key bodies in the digital and data field, and the Personal Data Protection Commission (PDPC) oversees data protection. SEIUM's qualifications are private, not state degrees, and not accredited by any national body. Acceptance is decided by employers or the relevant body, so verify this before enrolling.

Which Singapore employers hire data, AI and simulation specialists?

Demand is strong across banks, government agencies, healthcare, logistics, telecoms and tech firms. Singapore's national AI and smart nation initiatives also create roles. Employers typically assess portfolios, technical interviews and proven projects. Your final project can demonstrate applied analytics or simulation skills, though hiring decisions are the employer's.

Can I study this part-time from Singapore, and does it need a student visa?

Yes, the programmes are 100% online and taught in English, so you can study from Singapore without a student visa. Workload is substantial, with 1,900 hours for a master's, 800 for a postgraduate diploma and 300 for a specialist course. Fees can be paid in instalments, and employer sponsorship is possible, subject to your employer's approval.

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Learning outcomes

What you will be able to do

01

Analyse traffic behaviour using its fundamental variables.

02

Build and calibrate macroscopic network models.

03

Develop validated microsimulations of intersections and corridors.

04

Design fixed-time and actuated signal plans.

05

Evaluate adaptive and intelligent control strategies.

06

Quantify impacts on delay, emissions and safety.

07

Integrate models at different scales into traffic twins.

Profile

Who it's for

  • Traffic engineers working on urban and interurban networks.
  • Transport modellers building demand and assignment models.
  • Traffic signal technicians designing and tuning signal plans.
  • Mobility consultants assessing schemes for public authorities.
  • ITS engineers deploying detection, communications and control systems.
  • Traffic control centre analysts managing network operations.
  • Engineering or science graduates looking to move into the public sector.
Standards & tools

What you'll work with

  • Highway Capacity Manual, 7th edition (TRB) (capacity and level-of-service methodology)
  • FHWA Traffic Analysis Toolbox Volume III (guidelines for applying traffic microsimulation software)
  • NTCIP 1202 (object definitions for actuated signal controllers)
  • SAE J2735 (V2X message set dictionary, including SPaT)
  • Directive 2010/40/EU (ITS) (framework for intelligent transport systems)
  • Real Decreto 1428/2003 (Reglamento General de Circulación) (Spanish General Traffic Regulations)
  • ETSI EN 302 637-2 (cooperative awareness basic service for C-ITS)
  • SUMO
  • PTV Vissim
  • PTV Visum
  • Aimsun Next
  • TRANSYT
Syllabus

8 modules

  1. 1.1Fundamental variables of flow, speed and density
  2. 1.2The fundamental diagram of traffic
  3. 1.3Capacity and levels of service
  4. 1.4Highway Capacity Manual methodology
  5. 1.5Representation of networks and nodes
  6. 1.6Traffic count and detector data
  7. 1.7Floating vehicle speed data
  8. 1.8Macro, meso and micro models
  9. 1.9Choosing the modelling level
  10. 1.10Workshop: fundamental diagram with detector data
  1. 2.1The four-step model
  2. 2.2Origin-destination matrices by time period
  3. 2.3Traffic assignment and Wardrop equilibrium
  4. 2.4BPR cost functions
  5. 2.5Dynamic traffic assignment
  6. 2.6The cell transmission model
  7. 2.7Calibration with traffic counts
  8. 2.8Matrix estimation
  9. 2.9Evaluation of network alternatives
  10. 2.10Lab: traffic assignment in PTV Visum
  1. 3.1Car-following models
  2. 3.2Wiedemann and Krauss models
  3. 3.3Lane changing and gap acceptance
  4. 3.4Modelling intersections and roundabouts
  5. 3.5Pedestrians and cyclists
  6. 3.6Public transport in microsimulation
  7. 3.7Randomness and number of replications
  8. 3.8Calibration and validation with GEH
  9. 3.9FHWA microsimulation guidance
  10. 3.10Lab: urban intersection in SUMO
  1. 4.1Cycle, phases and splits
  2. 4.2Webster's method
  3. 4.3Fixed-time intersections
  4. 4.4Detector-actuated control
  5. 4.5Coordination and green waves
  6. 4.6Optimisation with TRANSYT
  7. 4.7Signal priority for public transport
  8. 4.8Pedestrian safety and clearance times
  9. 4.9Controllers according to NTCIP 1202
  10. 4.10Practical: signal plan for an intersection
  1. 5.1SCOOT and SCATS systems
  2. 5.2Model-based adaptive control
  3. 5.3Network control with reinforcement learning
  4. 5.4Max-pressure and decentralised control
  5. 5.5V2X communications and SPaT messages
  6. 5.6Video detection and AI
  7. 5.7Integration with traffic control centres
  8. 5.8Assessing the benefits of adaptive control
  9. 5.9Robustness and communication failures
  10. 5.10Lab: reinforcement-learning control with SUMO and TraCI
  1. 6.1Delay, queue and stop indicators
  2. 6.2Emissions with HBEFA models
  3. 6.3Safety with SSAM conflict analysis
  4. 6.4Roadworks and event scenarios
  5. 6.5Low-emission zone scenarios
  6. 6.6Connected and autonomous vehicles
  7. 6.7Cost-benefit analysis of alternatives
  8. 6.8Visualisation of results
  9. 6.9Communication to decision-makers
  10. 6.10Case study: impact of an urban bus lane
  1. 7.1Hybrid macro-micro models
  2. 7.2Mesosimulation of large areas
  3. 7.3Consistency between levels
  4. 7.4Traffic digital twins
  5. 7.5Real-time data for simulation
  6. 7.6Short-term traffic forecasting
  7. 7.7Real-time simulation for operations
  8. 7.8Computational scalability of simulation
  9. 7.9Management of city models
  10. 7.10Case study: traffic twin of a district
  1. 8.1Scope and mobility problem
  2. 8.2Traffic data collection
  3. 8.3Macroscopic model of the network
  4. 8.4Microscopic model of the critical area
  5. 8.5Calibration and validation
  6. 8.6Design of signal plans
  7. 8.7Scenario evaluation
  8. 8.8Technical recommendations to the city council
  9. 8.9Report and presentation
  10. 8.10Final 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 your job.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is SUMO, PTV Vissim, PTV Visum, Aimsun Next and TRANSYT, in free, academic or evaluation versions. Practical work is based on real procedures for calibrating microsimulation models with traffic counts, optimising signal plans at intersections and evaluating urban mobility scenarios. Assessment is continuous by module, plus the final project.

Standards covered: Highway Capacity Manual, 7th edition (TRB), FHWA Traffic Analysis Toolbox Volume III, NTCIP 1202, SAE J2735, Directive 2010/40/EU (ITS), Real Decreto 1428/2003 (Reglamento General de Circulación), ETSI EN 302 637-2.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of the Highway Capacity Manual, the FHWA Traffic Analysis Toolbox and NTCIP 1202 applied to real cases, not as a theoretical annex.
Industry software:SUMO, PTV Vissim, PTV Visum, Aimsun Next and TRANSYT, in free, academic or evaluation versions.
Final project:a calibrated macro and micro model of a real network with optimised signal plans and evaluated scenarios, 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.

Mobility problem and data
Define the scope and mobility problem and collect traffic data.
Macroscopic network model
Build the macroscopic model of the network and its demand.
Microscopic critical area
Model the critical area in microsimulation and calibrate and validate it.
Signal plans and scenarios
Design signal plans and evaluate alternative scenarios.
Final project
Present technical recommendations in a report and presentation, reviewed by your tutor.
Career opportunities

Where this takes you

Traffic engineerTransport modellerTraffic signal technicianMobility consultantITS engineerTraffic control centre analyst
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. No university degree is required.
  • An 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.

FAQ

Frequently asked questions

The programme totals 800 hours over 6–8 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with SUMO, PTV Vissim, PTV Visum, Aimsun Next and TRANSYT, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.

A SEIUM Institute diploma, 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.

Prior technical training or professional experience in the sector (no university degree required), 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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