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Abstract:In order to automate the travel demand forecasting process in urban transportation planning, a number of
commercial computer based travel demand forecasting models have been developed, which have provided
transportation planners with powerful and flexible tools in modeling a traffic network for planning or traffic
impact studies. It is commonly recognized that none of the existing travel demand forecasting software is
perfectly suited for all application network scenarios and traffic conditions. A particular model, which is
strong in one application scenario, may be weak in a different application scenario. This report intends to
present a comparative study of two widely used computer based travel demand forecasting models: QRS II
vs. EMME/2. The comparative study is designed to identify main features and differences of the two models,
with an attempt to provide some useful information to practitioners. The comparative description of basic
features of two models in this report includes model structure, network development, data input, network
modification, parameter calibration, and modeling output. In the comparison of advanced features, the
calculate function in QRS II and macro language in EMME/2 are presented. A real-world small urban
network, South Missouri City Network, is used to support the comparison effort. The study has found that
both QRS II and EMME/2 models are reliable to model real-world networks. However, QRS II is relatively
easy to use for inexperienced users because of its comprehensive default parameters, calculation formulas,
procedures and the embedded four-step travel demand forecasting process. On the other hand, EMME/2
provides more powerful and flexible modules for users to perform more complex tasks.
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