Date: October 1994
Authors: Edward Beimborn and Alan Horowitz
Availability: Available from the University of Wisconsin -- Milwaukee Center for Urban Transportation Studies, P. O. Box 784, Milwaukee, WI 53201-0784, (414) 229-5787.
The QRSII/GNE Primer provides an introduction to the use of these two programs for transportation planning. Information is provided on how to code highway and transit networks with GNE and how to set parameters for QRS!! QRS II and GNE provide a means to do travel demand forecasting on a microcomputer using interactive input of node and link data and a wide range of user control over the forecasting process. These programs were developed by Professor Alan Horowitz of the University of Wisconsin--Milwaukee to implement the quick response techniques originally developed for NCHRP Report 187.
The purpose of this primer is to provide an introduction to these programs and to explain how data is entered and analyzed in the QRS II/GNE approach. The QRS II manual provides more detailed information.
The QRS II/GNE package has been widely adopted by transportation agencies and private organizations throughout the world. It is used for a variety of purposes -- regional transportation studies, site impact analysis, transit planning, and data base analysis.
Two programs are used: GNE -- general network editor -- provides a means to input and read network based data. Node and link characteristics.; and QRS II -- uses data prepared by GNE to do travel demand forecasts.
The basic procedure is as follows: 1) Input data for a highway (and transit) network using GNE, 2) Analyze the networks using QRSII, and 3) Display and interpret output using GNE, spreadsheets, and other software.
This primer is based on GNE for Windows version 5.0.0, Professional and QRS II version 3.0. The primer is organized to explain how highway and transit networks are coded with the General Network Editor. Each type of link and node as used in a highway network is explained to help you code the network. The same is done for transit networks. This is followed by an explanation of how parameters are set in QRS.
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