MATSim and open source agent simulation: recent experiences
Chalmers Transport and Energy Areas of Advance invite all interested to a seminar with Professor Kay Axhausen from ETH Zürich in Switzerland.
Overview
- Date:Starts 28 September 2023, 12:30Ends 28 September 2023, 14:00
- Location:Lecture hall HA4, Hörsalsvägen 4, Chalmers.
- Language:English
- Last sign up date:21 September 2023
Abstract
MATSim (the Multi-Agent Transport Simulation Toolkit) is an open source software development project developing agent-based software modules intended for use with transportation planning models. Kay Axhausen from ETH Zurich who is one of the main founders of MATSim, will share the recent development and application of agent-based simulations and particularly the usage of MATSim in various transport-related fields.
MATSim provides a framework to implement large-scale agent-based transport simulations. The framework consists of several modules which can be combined or used stand-alone. Modules can be replaced by custom implementations to test single aspects of your own work. Currently, MATSim offers a framework for demand-modeling, agent-based mobility-simulation (traffic flow simulation), re-planning, a controler to iteratively run simulations as well as methods to analyze the output generated by the modules. MATSim has been applied to various areas: road transport, public transport, freight transport and regional evacuation etc.
Biography
Dr. K.W. Axhausen is Professor of Transport Planning at ETH Zürich. Before he worked at the Leopold-Franzens Universität, Innsbruck, Imperial College London and the University of Oxford. He has been involved in the measurement and modelling of travel behaviour for the past 40 years contributing especially to the literature on stated preferences, micro-simulation of travel behaviour, accessibility, valuation of travel time and its components, parking behaviour, activity scheduling and travel diary data collection.
Current work focuses on the agent-based micro-simulation toolkit MATSim. The recently finished GPS tracking study was part of his work on modelling the COVID19 pandemic. Related tracking work informs the e-bike-city project.
When
Thursday 28 September 12:30-14:00.
A lunch sandwich is served 12:30 (subject to registration).
Where
Lecture hall HA4, Hörsalsvägen 4, Chalmers.
Host
Kun Gao, Assistant Professor, GeoEngineering, Architecture and Civil Engineering.
Chair
Sonia Yeh, Co-Director Energy Area of Advance
Balázs Kulcsár, Director Transport Area of Advance
Registration
The registration is now closed. Please contact Transport Area of Advance.