Smart Parking and Demand Management Course
Online course of 300 hours in smart parking and demand management, structured in 6 modules covering urban parking policy, bay detection technologies, driver guidance and information, parking demand management, and evaluation and operating models, with an assigned technical tutor.
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.
What you will be able to do
Analyse parking supply and demand in an urban area.
Select bay detection technologies suited to each setting.
Design real-time guidance and information systems.
Propose demand management measures consistent with mobility policy.
Integrate parking data into smart city platforms.
Assess the impact of sensor deployment on congestion and emissions.
Develop a technically and economically viable smart parking project.
Who it's for
- Municipal mobility technicians.
- Car park managers.
- Urban mobility consultants.
- ITS systems engineers.
- Mobility data analysts.
- Smart city project managers.
- Engineering or science graduates looking to move into local government.
What you'll work with
- Directive 2010/40/EU (framework for the deployment of intelligent transport systems)
- Delegated Regulation (EU) 2022/670 (EU-wide real-time traffic information services)
- Regulation (EU) 2016/679 (General Data Protection Regulation)
- Law 7/2021 (Spanish Climate Change and Energy Transition Act)
- Royal Decree 1052/2022 (low emission zones)
- Royal Legislative Decree 6/2015 (Spanish Traffic and Road Safety Act)
- UNE 178104 (comprehensive smart city management systems: interoperability)
- QGIS
- FIWARE
- Sentilo
- Python (pandas)
- Power BI
6 modules
1.1Parking supply, demand and occupancy1.2On-street versus off-street parking1.3Turnover, average duration and search time1.4Cruising traffic generated by the search for a space1.5Minimum and maximum parking standards in planning1.6Parking regulation and residents’ zones1.7Park and ride car parks1.8Loading and unloading in urban distribution1.9Secure parking for bicycles and personal mobility vehicles1.10Case study: parking diagnosis in a central neighbourhood
2.1Surface-mounted and embedded magnetic sensors2.2Camera-based detection and computer vision2.3Automatic number plate recognition (LPR)2.4Ultrasonic sensors and indicator lights in covered car parks2.5LoRaWAN, NB-IoT and LTE-M connectivity2.6Detection calibration and accuracy2.7Batteries, maintenance and sensor service life2.8Integration into smart city platforms2.9Privacy and data protection in data capture2.10Lab: comparison of sensors on a pilot street
3.1Dynamic variable message guidance signs3.2Bay-by-bay guidance in underground car parks3.3Real-time availability information3.4Advance booking of spaces3.5Mobile payment and virtual tickets3.6Data publication in DATEX II format3.7Interoperability with navigation apps and MaaS platforms3.8Bays reserved for people with reduced mobility3.9User service quality indicators3.10Workshop: design of an urban parking guidance system
4.1Price elasticity of demand4.2Parking in low emission zones4.3Tariffs based on the vehicle’s environmental label4.4Enforcement with scan cars4.5Progressive reduction of on-street spaces4.6Reallocation of space to pedestrians and cyclists4.7Shared parking and overnight residential use4.8Workplace parking plans4.9Communication and public acceptance of measures4.10Case study: municipal demand management plan
5.1Occupancy and turnover surveys5.2Time-series analysis of occupancy5.3Parking performance indicators5.4Concessions and service management contracts5.5Cost-benefit analysis of sensor deployment5.6Impact on congestion and emissions5.7Reinvesting revenue in sustainable mobility5.8Lessons from SFpark and European pilots5.9Ex post evaluation of pilot projects5.10Practical exercise: occupancy dashboard
6.1Definition of the area and objectives6.2Supply and demand diagnosis6.3Selection of detection technology6.4Design of guidance and payment system6.5Pricing and regulatory strategy6.6Phased implementation plan6.7Budget and operating model6.8Monitoring indicators6.9Report and presentation6.10Final project: final review with the tutor
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 each intake, so the programme fits alongside your job.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is QGIS, FIWARE, Sentilo, Python (pandas) and Power BI, in free, academic or evaluation versions. Exercises are based on real procedures: on-street occupancy and turnover surveys, bay sensor pilots and the simulation of parking regulation scenarios. Assessment is continuous by module, plus the final project.
Standards covered: Directive 2010/40/EU on intelligent transport systems, Delegated Regulation (EU) 2022/670 on real-time traffic information services, Regulation (EU) 2016/679 (General Data Protection Regulation), Law 7/2021 on climate change and energy transition, Royal Decree 1052/2022 on low emission zones, Royal Legislative Decree 6/2015 (Spanish Traffic and Road Safety Act), UNE 178104 (comprehensive smart city management systems).
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
- No prior qualification 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.
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 QGIS, FIWARE, Sentilo, Python (pandas) and Power BI, 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: just 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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