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AIM4Mobility: Fundamental Trends of AI and ML in Urban Mobility

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Discover how Artificial Intelligence (AI) and Machine Learning (ML) are revolutionising urban mobility. This course covers key applications like demand forecasting, traffic optimisation, smart public transport, and autonomous vehicles—alongside core models, tools, and challenges such as data quality, scalability, and ethics.
PROFESSIONAL TRAINING COURSE

AI and ML are no longer future technologies—they’re actively reshaping how we move through our cities.

Fundamental Trends of AI and ML in Urban Mobility is a self-paced online course that introduces the core concepts, tools, and real-world applications of AI/ML in modern transportation.
From intelligent public transit to traffic optimization and autonomous vehicles, this course highlights how data and algorithms are driving efficiency, sustainability, and innovation in mobility systems.
Participants will also explore key implementation challenges, including data quality, scalability, regulation, and ethical concerns.

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PARTICIPANTS PROFILE

MASTERCOM addresses all professionals of public and private companies, who feel committed to sustainability and are motivated to transform the commuting patterns at their companies.

This could be:
     Managers of sustainability and Corporate Social Responsibility (CSR)
     Fleet managers
     Human recourses professionals
     Happy management professionals
    Benefits and well-being professionals

Training Format

Self-paced course.

Duration

8 hours (considering theoretical and practical tasks)

Language

English

Certificate of completion

Upon course compeltion, each participant will recieve a diploma from the EIT Urban Mobility.

Who is AIM4Mobility addressed to?

AIM4Mobility is ideal for urban planning, GIS, and data science professionals and students, providing practical, data-driven insights for smarter cities.
  • Urban planners
  • Transportation engineers
  • Data scientists
  • Policymakers
  • Professionals interested in applying AI and ML to mobility challenges.

What will the participants get from the course

By the end of this course, learners will be able to:

Understand 

the key AI and ML concepts relevant to urban mobility.

Assess

the ethical, regulatory, and technical limitations of AI in urban mobility.

Analyze

the challenges and opportunities of implementing AI/ML solutions in mobility.

Explore 

real-world use cases such as demand forecasting, route optimization, and traffic analysis
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Online Course

MASTERCOM has busy professionals in mind!

A central component of the trainingis a four-module, self-pacedonline course.
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Live sessions

Knowledge exchange is key! 

Regular live sessions with experts and educators create a personal and pleasant space for questions and direct exchange. 
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On-Site Event in Barcelona

Focussing REAL-LIFE success stories!

The final event in February 2024 in Barcelona will bring together leading experts from academia and industry, sharing real case success stories. 

MODULES

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AIM4Mobility is made up for 4 courses

Tools and Techniques for Geospatial ML

This course teaches geospatial data analysis with Python to tackle urban mobility challenges, using OSM data and spatial tools.

Fundamental Trends of AI & ML

The couse covers applications like demand forecasting, traffic optimisation, and autonomous vehicles, as well as key tools, challenges, and ethical issues.

Predictive Modeling and Demand Forecasting

This course teaches how to build and apply predictive models in urban mobility using AI and ML.


AI Challenges & Ethical Considerations

Introduction to ethical principles for AI in urban mobility, covering oversight, accountability, data governance, and fairness.

Want to learn more about the AIM4Mobility course?

Visit the main page of the course which explains the AIM4Mobility framework, format and detailed information of all fur courses. 
This project is supported by EIT Urban Mobility, an initiative of the European Institute of Innovation and Technology (EIT), a body of the European Union. EIT Urban Mobility acts to accelerate positive change on mobility to make urban spaces more liveable. Learn more: eiturbanmobility.eu