The Zurich Scenario: A Technical Overview 1.0

The MATSim Zurich scenario is frequently used and well calibrated and validated. It has been applied in numerous projects and serves as real-world example for research. It is generated by extracting the Zurich region from the Switzerland scenario. This report is designed as a read-me file. In combination with the referenced papers the reader should be able to run the Zurich scenario autonomously. A brief overview is given of input data, central MATSim modules (such as the mobility simulations), prior large-scale projects and common configurations. The document is primarily written for internal usage as data used are not open to the public. It is planned to continuously update this report and periodically publish a snapshot of it. Hints for running other scenarios are also given.

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[16]  Francesco Ciari,et al.  Mobility tool ownership and mode choice decision processes in multi-agent transportation simulation; 7th Swiss Transport Research Conference; Working paper / IVT; , 2007 .

[17]  Milenko Vrtic,et al.  Erstellung des nationalen Personenverkehrsmodells für den öffentlichen und privaten Verkehr , 2006 .

[18]  Konrad Meister.  Erstellung von MATSim Facilities für das Schweiz-Szenario , 2008 .

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[24]  Marcel Rieser,et al.  Adding Transit to an Agent-Based Transportation Simulation: Concepts and Implementation , 2010 .

[25]  Francesco Ciari,et al.  Anwendung eines agentenbasierten Modells der Verkehrsnachfrage auf die Schweiz; ; Strassenverkehrstechnik; , 2009 .

[26]  S. Shah Mohit.  Activity-based travel demand modelling including freight and cross-border traffic with transit simulation , 2010 .

[27]  Christoph Dobler.  Implementations of within day replanning in MATSim-T , 2009 .

[28]  Kay W. Axhausen,et al.  planomat: a comprehensive scheduler for a large-scale multi-agent transportation simulation , 2006 .

[29]  Francesco Ciari,et al.  A new mode choice model for a multi-agent transport simulation , 2008 .

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[31]  Francesco Ciari,et al.  Wirkungen der Westumfahrung Zürich: Analyse mit einer agentenbasierten Mikrosimulation , 2009 .