Cadyts – Calibration of Dynamic Traffic Simulations

Copyright 2009-2017 Gunnar Flötteröd


Cadyts estimates disaggregate demand models of dynamic traffic assignment simulators from traffic counts and vehicle re-identification data. The tool is broadly applicable in that it (i) makes only very mild assumptions about the calibrated simulator's workings and (ii) allows for various modes of technical interaction with the simulation software.


Cadyts is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. Cadyts is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License for more details.


Cadyts has been successfully used to calibrate the following traffic simulators:

·        MATSim (Multi-Agent Transport Simulation Toolkit)

·        SUMO (Simulation of Urban Mobility)

·        DRACULA (Dynamic Route Assignment Combining User Learning and Microsimulation)


Download Cadyts:

·        The code is available on github:

·        Software documentation of Cadyts version 1.1.0


Related journal publications:

·        G. Flötteröd and R. Liu. Disaggregate path flow estimation in an iterated DTA microsimulation. Published online in advance in Journal of Intelligent Transportation Systems, 2013.

·        G. Flötteröd, Y. Chen, and K. Nagel. Behavioral calibration and analysis of a large-scale travel microsimulation. Networks and Spatial Economics, 12(4):481-502, 2012.

·        G. Flötteröd, M. Bierlaire, and K. Nagel. Bayesian demand calibration for dynamic traffic simulations. Transportation Science, 45(4):541-561, 2011.


Related dissertations:

·        M. Moyo Oliveros. Calibration of public transit routing for multi-agent simulation. PhD thesis, Technical University of Berlin, Germany, 2013.

·        Y. Chen. Adding a comprehensive calibration methodology to an agent-based transportation simulation. PhD thesis, Technical University of Berlin, Germany, 2012.

·        G. Flötteröd. Traffic state estimation with multi-agent simulations. PhD thesis, Technical University of Berlin, Germany, 2008.


A full publication list can be found here. If you have questions or suggestions, feel free to contact the author:


Last update of this page: February 8, 2017.