This software is licensed under the University of Illinois/NCSA Open Source
License:
Copyright (c) 2013 The Board of Trustees of the University of Illinois. All
rights reserved.
Developed by: Department of Civil and Environmental Engineering University
of Illinois at Urbana-Champaign
Estimating traffic control strategies with inverse optimal control - Code submission
Version 0.01 06/27/2013
GENERAL USAGE NOTES
-------------------
1. This release of software is intended to complement a paper submission to the
IEEE-ITSC 2013 conference.
2. This software is intended to be run on MATLAB. It was developed using MATLAB
R2012a and there are no guarantees that it will function as intended on other
versions of MATLAB or all computer configurations.
HOW TO USE TO SOFTWARE
----------------------
1. Download all the files in the package and save them on a single folder.
2. Direct the MATLAB workspace to that folder.
3. In the MATLAB command window, type 'run' to start. This should produce all the
figures that were included in the paper.
4. In the file named 'run.m', there is a section where the true weights can be
modified. The variable to modify is named 'expertWeights'.
5. In the file named 'main.m', the standard deviation of the distribution used to
create model errors can be changed by changing the variable named 'errorStdDev'.
The default value is 0.00.
6. In the file 'initialize.m', all the parameters of the problem can be changed to
reasonable values.
CONTACT INFORMATION
-------------------
Name: Sudeep Gowrishankar
Institution: University of Illinois at Urbana-Champaign
Email: sgowris2@gmail.com
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sgowris2-inverse-optimal-control.zip
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sgowris2-inverse-optimal-control.zip (406个子文件)
tomlabGenerateIOCConstSet_2.asv 3KB
createAlphaAgent.asv 126B
createAlphaAgent.asv 126B
createAlphaAgent.asv 126B
SimulatedIntersection.csv 11KB
convexVisSim.csv 11KB
convexVisSim.csv 11KB
SimulatedIntersection.csv 8KB
convexVisSim_new.csv 4KB
convexVisSim_new2.csv 4KB
convexVisSim2.csv 4KB
simulatedCSV.csv 2KB
simulatedCSV.csv 2KB
csv1.csv 1KB
csv1.csv 1KB
csv3.csv 1KB
csv3.csv 1KB
csv2.csv 1KB
csv2.csv 1KB
objError.eps 65KB
objError.eps 65KB
objError.eps 65KB
objError.eps 65KB
phaselengths.eps 18KB
phaselengths.eps 18KB
phaseLengthsWithoutZeros.eps 13KB
phaseLengthsWithoutZeros.eps 13KB
policy.eps 13KB
policy.eps 13KB
policySmall.eps 13KB
policySmall.eps 13KB
phaselenghts.eps 13KB
phaselenghts.eps 13KB
phaseLenghts.eps 13KB
phaseLenghts.eps 13KB
phaseLengths.eps 13KB
phaseLengths.eps 13KB
phaseLenghts.eps 12KB
phaseLenghts.eps 12KB
phaseLengths cplex.eps 11KB
phaseLengths cplex.eps 11KB
phaseLengths.eps 11KB
phaseLengths.eps 11KB
policy.eps 10KB
policy.eps 10KB
policy.eps 10KB
policy.eps 10KB
policy cplex.eps 10KB
policy cplex.eps 10KB
policy.eps 10KB
policy.eps 10KB
objerrors100runs.fig 39KB
objerrors100runs.fig 39KB
objError.fig 39KB
objError.fig 39KB
phaselengtherrors100runs.fig 39KB
phaselengtherrors100runs.fig 39KB
objError.fig 39KB
objError.fig 39KB
phaseLengthError.fig 39KB
phaseLengthError.fig 39KB
policyerrors100runs.fig 39KB
policyerrors100runs.fig 39KB
phaselengths.fig 13KB
phaselengths.fig 13KB
phaselengthsWithoutZeros.fig 10KB
phaselengthsWithoutZeros.fig 10KB
phaseLengths.fig 10KB
phaseLengths.fig 10KB
phaselenghts.fig 10KB
phaselenghts.fig 10KB
phaseLenghts.fig 10KB
phaseLenghts.fig 10KB
phaseLengths.fig 10KB
phaseLengths.fig 10KB
phaselengths2.fig 10KB
phaselengths1.fig 10KB
phaseLenghts.fig 10KB
phaseLenghts.fig 10KB
phaseLengths.fig 10KB
phaseLengths.fig 10KB
phaseLengths cplex.fig 10KB
phaseLengths cplex.fig 10KB
policy.fig 9KB
policy.fig 9KB
policy.fig 8KB
policy.fig 8KB
policy.fig 8KB
policy.fig 8KB
policy.fig 8KB
policy.fig 8KB
policy.fig 8KB
policy.fig 8KB
policy.fig 8KB
policy.fig 8KB
policy.fig 8KB
policy.fig 8KB
policy cplex.fig 8KB
policy cplex.fig 8KB
.gitattributes 483B
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