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101-0491-00L 6 Credits MSC D-USYS , D-BAUG , D-MATH , D-INFK , D-ITET
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Agent Based Modeling in Transportation

Lecturers & Examiners: Dr. Milos Balac, Dr. Grace Orowo Kagho
VVZ CR n/a

Last Updated: 2026-02-05 16:30:20

Abstract

In this course, the students take on the role of transport modeler and planner. Through hands-on simulation using MATSim, we explore agent-based modeling - a powerful way to simulate how people move and interact in urban environments. Working in teams, students build and test realistic transport models, experiment with policies, and evaluate their effects in virtual urban landscapes.

Objective

This highly interactive course teaches you how to create a digital copy of the world around you—a virtual testbed. With a focus on transport, we will cover the following topics: General overview of digital twin technology and their applications in transport Introduction of agent-based/individual-based methodology that stands at the foundation of digital twin models Techniques for developing synthetic representations of people and vehicles Use of LLMs in interacting with the digital twins - The future or a nice gimmick? Project work where you will use the virtual testbed to answer relevant societal questions, developing team, management, technical, and critical thinking skills. During the course, you will also be able to hear and discuss with our industrial/start-up colleagues how mirror worlds are used in practice today.

Content

This highly interactive course teaches you how to create a digital copy of the world around you—a virtual testbed. With a focus on transport, we will cover the following topics: General overview of digital twin technology and their applications in transport Introduction of agent-based/individual-based methodology that stands at the foundation of digital twin models Techniques for developing synthetic representations of people and vehicles Use of LLMs in interacting with the digital twins - The future or a nice gimmick? Project work where you will use the virtual testbed to answer relevant societal questions, developing team, management, technical, and critical thinking skills. During the course, you will also be able to hear and discuss with our industrial/start-up colleagues how mirror worlds are used in practice today.

Resources

Lecture Notes

Lecture slides and related material (software codes) will be made available in digital form (Moodle, Website & GitHub Repository).

General Information

Language
English
Levels
MSC
Frequency
Yearly recurring

Examination

Type
graded semester performance

Course Components

Type Title Time & Place Hours
lecture with exercise Agent Based Modeling in Transportation
  • Mon 09:45-11:30 (HPK D 24.2)
  • Tue 13:45-15:30 (HPK D 24.2)
4 h weekly

Offered In