Master’s in Smart Parking Engineering and Demand Management
Online master's programme of 1,900 hours in smart parking and demand management engineering, with 12 modules covering supply and demand studies, smart parking technologies, on-street regulation, dynamic pricing, off-street and park-and-ride facilities, mobility demand management, kerbside management and operating models, with an assigned technical tutor.
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Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Analyse parking supply and demand using field methods and data.
Design smart parking systems based on sensors and IoT.
Define parking regulation and pricing schemes.
Apply mobility demand management strategies.
Plan park-and-ride facilities integrated with public transport.
Manage kerbside space using productivity criteria.
Assess car park operating models and concessions.
Who it's for
- Mobility and parking engineers.
- Managers of regulated parking zones.
- Demand management consultants.
- Smart parking specialists working with sensors and digital platforms.
- Mobility data analysts.
- Municipal traffic officers.
- Engineering or science graduates aiming to move into local government.
What you'll work with
- Ley 40/2002 (Spanish law on vehicle parking contracts)
- Regulation (EU) 2016/679 (GDPR, personal data protection)
- Ley 7/2021 (Spanish climate change and energy transition law)
- Real Decreto 1052/2022 (low-emission zones)
- ITC-BT-52 of the REBT (electric vehicle charging installations)
- Código Técnico de la Edificación DB SI (fire safety in buildings)
- Orden TMA/851/2021 (accessibility in urbanised public spaces)
- QGIS
- PTV Visum
- Python (pandas, OpenCV)
- Power BI
- AutoCAD
12 modules · 1900 h
1.1Parking as a policy tool1.2Parking supply and demand1.3Types: on-street, off-street and residential1.4The social cost of free parking1.5Cruising for parking and induced traffic1.6Parking and land use1.7Minimum and maximum standards in planning1.8International benchmark experiences1.9Turnover and occupancy indicators1.10Case study: parking inventory of a district
2.1Space inventories and digitalisation2.2Occupancy studies by time band2.3Turnover studies with licence plate recognition2.4User surveys2.5Price elasticity of demand2.6Analysis of illegal parking and non-compliance2.7Night-time residential demand2.8Future demand estimation2.9Geospatial visualisation of results2.10Practical exercise: occupancy study with licence plate recognition data
3.1Magnetic and infrared in-ground sensors3.2Cameras and computer vision for occupancy3.3IoT platforms and LPWAN networks3.4Guidance panels and dynamic signage3.5Mobile payment apps3.6Automatic number plate recognition3.7Integration with navigation systems3.8Sensor reliability and maintenance3.9Parking data architecture3.10Lab: free space detection with computer vision
4.1Regulated parking zones4.2Resident permits and priorities4.3Tariff design by zone and time band4.4Emissions-based vehicle charging4.5Duration limits4.6Parking enforcement and monitoring4.7Reserved spaces: disabled users, loading and motorcycles4.8Municipal parking by-laws4.9Communication and public acceptance4.10Case study: redesign of a regulated parking zone
5.1Principles of occupancy-based pricing5.2Experiences such as SFpark5.3Tariff adjustment algorithms5.4Optimal occupancy targets5.5Distributional effects and equity5.6Integration with urban road pricing5.7Tariffs in public car parks5.8Traffic impact assessment5.9Risks to social acceptance5.10Practical exercise: simulation of a dynamic pricing scheme
6.1Geometric design of car parks6.2Ramps, aisles and space dimensions6.3Ventilation and fire protection6.4Electric vehicle charging in car parks6.5Access control and management6.6Security and CCTV6.7Accessibility and wayfinding signage6.8Change of use and repurposing6.9Mechanical and robotic car parks6.10Workshop: functional design of an underground car park
7.1Park and ride: location and sizing7.2Integration with public transport7.3Combined parking and transport fares7.4Parking for bicycles and e-scooters7.5Mobility hubs7.6Coach parking7.7Shared parking between uses7.8Effectiveness assessment7.9Management and operation7.10Case study: metropolitan park-and-ride network
8.1Strategies to reduce car use8.2Workplace travel plans8.3Remote working and its effect on demand8.4Car sharing as an alternative to ownership8.5Financial incentives and disincentives8.6Access restrictions and low-emission zones8.7Demand management for major events8.8Measuring behavioural change8.9Applied behavioural economics8.10Workshop: mobility plan for a business campus
9.1The concept of kerbside management9.2Competing uses: loading, taxi, ride-hailing and bus9.3Digital kerbside inventory9.4Dynamic allocation of uses9.5Kerbside data standards9.6Space for terraces and pedestrians9.7Reclaiming space for other uses9.8Kerbside productivity metrics9.9Use enforcement technologies9.10Practical exercise: kerbside management plan for a shopping street
10.1Car park concessions10.2Management contracts for regulated zones10.3Revenue and its reinvestment10.4Service quality indicators10.5Payment collection and reconciliation systems10.6Customer service and complaints10.7Equipment maintenance10.8Concession auditing10.9Transition to digital management10.10Case study: economic analysis of a concession
11.1Parking data platforms11.2Open data and APDS standards11.3Protection of licence plate data11.4Dashboards for decision-makers11.5Ex-post policy evaluation11.6Associated environmental indicators11.7Perception surveys11.8Benchmarking between cities11.9Continuous improvement of policies11.10Lab: occupancy and turnover dashboard
12.1Selection of the urban study area12.2Supply and demand study12.3Diagnosis of parking problems12.4Technology and regulatory proposal12.5Tariff scheme design12.6Assessment of mobility impacts12.7Management model and viability12.8Conclusions and recommendations12.9Master's Thesis report12.10Master's Thesis: defence before a panel
How you'll learn
100% online training on the SEIUM campus, with downloadable materials, 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 standards and applied exercises. The working software is QGIS, PTV Visum, Python (pandas, OpenCV), Power BI, AutoCAD, in free, academic or evaluation versions. Testing is studied through real procedures: parking occupancy and turnover studies, simulation of pricing schemes and testing of space detection sensors. Assessment is continuous by module, plus the final Master's Thesis.
Standards covered: Ley 40/2002, Regulation (EU) 2016/679 (GDPR), Ley 7/2021, Real Decreto 1052/2022, ITC-BT-52 of the REBT, Código Técnico de la Edificación DB SI, Orden TMA/851/2021.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Where this takes you
Requirements
- University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
- 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.
Frequently asked questions
The programme totals 1,900 hours over 12–14 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.
You work with QGIS, PTV Visum, Python (pandas, OpenCV), Power BI and AutoCAD, 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 Master's Thesis. 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 in a course or postgraduate diploma in the same area are recognised in the higher programme. Ask about the recognition policy when you enrol.
A university degree in engineering, science or architecture (or equivalent professional experience), a computer able to run the 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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