Travel demand forecasting models: a comparison of EMME/2 and QUR II using a real-world network.

Details

• Creators:
  Yue, Peng ; Yu, Lei
• Corporate Creators:
  Texas Southern University. Center for Transportation Training and Research
• Corporate Contributors:
  Southwest Region University Transportation Center (U.S.)
• Subject/TRT Terms:
  • Computer models
  • Computers
  • Forecasting
  • Networks
  • Software
  • Transportation planning
  • Travel demand
  • Urban transportation
  • Comparison
  • EMME/2 c
  More +
• Publication/ Report Number:
  SWUTC/00/167901-1 ; Report 167901-1
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  Southwest Region University Transportation Center (U.S.)
• 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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• Format:
  PDF
• Funding:
  10727
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/15389/dot_15389_DS1.pdf
• File Type:
  [PDF - 1.22 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha256:d3b815afcb1d3a07913e674c4c090f23cf53a79e386d8375615e489ca5c43d2d