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: https://github.com/gunnarfloetteroed/java.
·
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: gunnar.floetteroed@abe.kth.se
Last
update of this page: February 8, 2017.