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Training
Center for Urban Transportation
Research
at the University of South Florida
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This page contains links to files we are making available for FTP
download. Click on the appropriate link under the Formats section of a file's
description to begin downloading.
A definition of the file formats is available at the bottom
of this page. All file sizes are approximate.
This software was developed using an artificial neural network (ANN) model to
predict changes in average vehicle ridership using about 7,000 employer trip reduction
plans from three cities. Model inputs and outputs were identified by reviewing
several trip reduction ordinances. CUTR combined the three data sets and identified model
inputs and outputs from the data, and built the neural network model. This step also
included building alternative models using regression and discriminate analysis to measure
relative ANN performance. These models were also compared with the FHWA’s TDM Model.
The ANN model built only with data from Los Angeles was validated using a separate data
set and evaluated based on the model’s ability to classify the change in AVR within
an acceptable range. The final step taken was the validation of the model using data from
other sites. The result was a model and software built on data from Los Angeles and Tucson
that performed well when tested with data from Phoenix. Based on this project, the ANN
model has proven to predict an acceptable range of changes in AVR and has proven to be
transferable to another city. Furthermore, the ANN model outperformed other analysis tools
and should be easier to use. Finally, the model provides a basis for helping
transportation planners assess the impacts of employer trip reduction programs with
minimal data collection requirements.
Last updated: August 26, 1998.
Click here
to begin the download process.
Online users manual for the above software: Cutravr.pdf
(231Kb). You will need Adobe Acrobat (tm) to read this file. Click on this
icon to get this free reader.
.bas Visual Basic source file, in text format
.exe Windows executable program
.pdf Adobe Acrobat
.ps PostScript file
.ps.Z compressed PostScript file, for UNIX
.tar UNIX archive file
.tar.Z compressed UNIX archive file
.zip Windows archive file
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