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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
VVZ CR n/a

Last Updated: 2026-02-05 16:15:37

Abstract

This course provides an introduction to agent-based modeling in transportation. The lectures and exercises offer an opportunity to learn about agent-based simulation models' current methodology, focusing on MATSim, how agent-based models are set up, and perform a practical case study by working in groups.

Objective

At the end of the course, the students should: - have an understanding of agent-based modeling - have an understanding of MATSim - have an understanding of the process needed to set up an agent-based study - have practical experience of using MATSim to perform transportation studies

Content

This course provides an introduction to agent-based models for transportation policy analysis. Four essential topics are covered: 1) Introduction of agent-based modeling and its comparison to the traditional state of practice modeling 2) Introduction of MATSim, an open-source agent-based model, developed at ETH Zurich and TU Berlin, and its various parts 3) Setting up an agent-based model simulation, where different statistical methods used in the process will be introduced and explained. Here the open-source eqasim framework used at ETH Zurich to set up agent-based models will be introduced 4) Conducting a transport policy study. The case study will be performed in groups and will include a paper-like report. During the course, outside lecturers will give several lectures on using MATSim in practice (i.e., SBB).

Resources

Literature

Agent-based modeling in general Bonabeau, E. (2002). Agent-based modeling: Methods and techniques for simulating human systems. Proceedings of the national academy of sciences, 99(suppl 3), 7280-7287. Helbing, D (2012) Social Self-Organization, Understanding Complex Systems, Springer, Berlin. Heppenstall, A., A. T. Crooks, L. M. See and M. Batty (2012) Agent-Based Models of Geographical Systems, Springer, Dordrecht. MATSim Horni, A., K. Nagel and K.W. Axhausen (eds.) (2016) The Multi-Agent Transport Simulation MATSim, Ubiquity, London ( http://www.matsim.org/the-book ) Additional relevant readings, primarily scientific articles, will be recommended throughout the course.

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