CERTIFICATE COURSE | AUTONOMOUS MOBILITY AND ITS DIGITALIZATION

Learning goals

• Outline real-world cases, gleaned from European managers and policy makers
• Analyze and use current and future trends in Autonomous Mobility
• Evaluate application fields, potentialities (and bottlenecks) in the field
• Formulate successful, future-oriented thinking about Autonomous Mobility and digitalization of the transport industry

Contents

The course will examine the current issues related to autonomous vehicles through the lens of business, technology, policy and user perspectives. It will include a mix of lectures and practical exercises to provide participants with a holistic learning experience. Participants will be encouraged to actively engage in discussions and apply the concepts learned to real-world scenarios.

Target group

• Mobility stakeholders with an interest in autonomous vehicles, regardless of whether they have a background in mobility and IT
• Company managers
• Public transport operators
• City entities
• Policy makers
• NGOs

All course participants have access to a reduced course fee, as a result of support from the European Union's EIT Urban Mobility initiative.

Participants of an entity associate with PAVE Europe, will discuss the fee directly with PAVE Europe.

Participants of an entity NOT associated with PAVE Europe receive a discount price of 450 €.
(Standard course fees at the TU Berlin Academy for a course of this duration are 3135 €)

This course is recognized as Bildungszeit according to paragraph § 10 (5) of the Berliner Bildungszeitgesetz (BiZeitG).

Prerequisites

• English level of at least B2
• Laptop/PC + headset with microphone

Dates

This certificate course begins with a two-week, guided self-study phase, supplemented by three virtual sessions (probably from 16:00 to 18:00). This is followed by a three-day intensive attendance phase at Berlin.

Course schedule

• April 24, 2025 (virtual session), 2 hours
• April 29, 2025 (virtual session), 2 hours
• April 30, 2025 (virtual session), 2 hours
• May 5-7, 2025 in Berlin on site (probably 09:00 - 17:00 (CET))

The detailed schedule for the In-person sessions in Berlin are as below:

Day 1 - May 5, 2025 - Basics of autonomous mobility

1. Welcome and introduction to the course (30 min)
2. Introduction to autonomous mobility (1 hr 30 min)
   • Gain a comprehensive overview of autonomous mobility, its significance, and its impact on modern transportation.
   • Speaker: Guido Di Pasquale, PAVE Europe
3. Autonomous technology (3 hrs)
   • Overall architecture: Understand the basic structure of autonomous systems.
   • Sensor technology: In-depth study of the sensors that enable autonomous driving, such as LiDAR, RADAR and cameras.
   • Software, AI and machine learning: Explore the algorithms and AI techniques that power autonomous vehicles.
   • Infrastructure and communication: Learn about the necessary infrastructure and V2X communication for autonomous systems.

Day 2 - May 6, 2025 - Development, regulations and market insights

4. Development and testing (3 hrs)
   • Verification and validation: Learn about the processes for ensuring the reliability of autonomous systems.
   • Operational Domains and Scenarios: Understand the different environments where autonomous vehicles operate.
   • Field Testing: Explore real-world testing methods to validate autonomous technologies.
5. regulations and safety standards (2 hrs)
   • National and international regulations: Current information on regulations from NHTSA, EU, UK, UNECE and other institutions.
   • Compliance and Certification Processes: Learn the steps to achieve regulatory compliance.
   • Safety Standards: Study the critical safety standards like ISO 26262.
   • Ethical considerations and data protection: Discussion on ethical implications and data protection in autonomous mobility.
   • Lecturer: To be announced.
6. Business and market aspects (2 hrs)
   • Market Overview: Analyze key players and market trends.
   • Use cases and business models: Discover different business models and applications autonomous vehicles.
   • Impact on employment and the economy: understanding the economic impact and the change in the labor market due to autonomous mobility.

7. Societal Impacts (2 hrs)
   • Possible social impact: Discussion of how autonomous vehicles will change daily life and society.
   • Public perception and acceptance: Researching strategies to promote the acceptance of autonomous technologies.
   • Public engagement and education: Learn about initiatives to educate and engage the public on autonomous mobility
8. Case Studies and Real-world Applications (2 hrs)
   • Autonomous passenger vehicles: Investigation of the use and impact of self-driving cars.
   • Autonomous public transport: understanding the role of autonomous technology in public transport.
   • Autonomous goods and delivery transport: research into innovations in autonomous logistics and delivery services.
9. Technical Visit (3 hours)
   • MOIA (VW Group), Berlin: Experience a guided technical excursion at MOIA, a leading provider of autonomous mobility services in Berlin, and see practical applications in action.

Cooperation

This course is supported by EIT Urban Mobility, an initiative of the European Institute of Innovation Technology (EIT), a body of the European Union. The aim is to positively change the way people move around in cities in order to make them more liveable. Further information can be found at eiturbanmobility.eu.

This support enables participants to access a special, reduced fee for this TU Berlin Academy and PAVE Europe course.

Joint data processing with PAVE Europe and EIT KIC Urban Mobility S.L

The TU Berlin Academy, TUBS GmbH collaborates with PAVE Europe and EIT KIC Urban Mobility S.L in organizing the course “Autonomous Mobility and its Digitalization”. When conducting the learning activities with PAVE Europe and EIT KIC Urban Mobility S.L, the TU Berlin Academy (TUBS GmbH) acts as a Joint Data Controller together with PAVE Europe and EIT KIC Urban Mobility S.L.

In order to fulfill this purpose we process personal data as described in our privacy policy. Any questions related to ensuring privacy rights in the context of joint continuing education may be addressed to the TU Berlin Academy (see contact details in the privacy policy).

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