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Bachelors

Smart Mobility

Eindhoven University of Technology
Eindhoven , Netherlands
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Program Details
Degree
Bachelors
Major
Automotive Engineering | Artificial Intelligence | Computer Science
Area of study
Information and Communication Technologies | Engineering
Course Language
English
About Program

Program Overview

Smart Mobility

The Smart Mobility track is part of the Honors Academy at Eindhoven University of Technology. This track focuses on developing innovative solutions for mobility issues using technology, particularly Cooperative Connected Automated Mobility.


Description

In the field of Smart Mobility, students have the opportunity to work on real-life projects, often in collaboration with industry and research institutes. The track provides a unique chance to see firsthand how technology is implemented in practical applications. Students will work in teams to develop out-of-the-box solutions using AI, connectivity, and other technological foundations.


Methodology

The Smart Mobility track believes in learning by doing. Students will work on real-life projects, either as part of a larger team or on a smaller research project with one of the researchers. The track is interdisciplinary, with students from various faculties collaborating to develop innovative solutions.


Project Example: AUTOPILOT Smart Campus

An example of a project in the Smart Mobility track is AUTOPILOT Smart Campus. This project used IoT and AI to predict pedestrian behavior and optimize the behavior of autonomous vehicles. A team of students developed a smartphone application that could summon an autonomous taxi and used data from the application to improve the user experience.


Main Learning Topics

The main learning topics in the Smart Mobility track include:


  • Research and apply data-driven methods (AI) to enhance and automate self-driving vehicles
  • Apply IoT and communication technology to enhance cooperative and connected automated mobility
  • Use Human Centered Design to design mobility solutions that people want
  • Work in teams and learn collaborative development skills
  • Implement software and test in real-life environments

Research Areas

The Smart Mobility track focuses on various research areas, including:


  • Cooperative Connected Automated Mobility
  • Artificial Intelligence
  • Internet of Things
  • Human Centered Design
  • Autonomous Vehicles

Collaboration

The track collaborates with industry and research partners, providing students with the opportunity to work on real-life projects and develop innovative solutions. Previous teams have consisted of students from various faculties, including built environment, mechanical engineering, electrical engineering, and computer science.


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