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A Comparison Of Traffic Models: Part 1, Framework

Author

Listed:
  • Lo, Hong K.
  • Lin, Wei-hua
  • Liao, Lawrence C.
  • Chang, Elbert
  • Tsao, Jacob

Abstract

This report defines a framework for comparing dynamic traffic models. It emphasizes four dimensions: functionality, traffic dynamics, route choice dy namics, and overall network performance. The first dimension compares the models through a check-list of model functions. Regarding the last three comparison dimensions, a total of five networks and twelve scenarios are defined. These test scenarios are designed to accentuate model properties and differences. Also included in the report are a list of performance measures for comparison purpose, and a discussion of the interpretation of results.

Suggested Citation

  • Lo, Hong K. & Lin, Wei-hua & Liao, Lawrence C. & Chang, Elbert & Tsao, Jacob, 1996. "A Comparison Of Traffic Models: Part 1, Framework," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8608t44v, Institute of Transportation Studies, UC Berkeley.
  • Handle: RePEc:cdl:itsrrp:qt8608t44v
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    References listed on IDEAS

    as
    1. Chang, Gang-Len & Mahmassani, Hani S., 1988. "Travel time prediction and departure time adjustment behavior dynamics in a congested traffic system," Transportation Research Part B: Methodological, Elsevier, vol. 22(3), pages 217-232, June.
    2. Daganzo, Carlos F., 1994. "The cell transmission model: A dynamic representation of highway traffic consistent with the hydrodynamic theory," Transportation Research Part B: Methodological, Elsevier, vol. 28(4), pages 269-287, August.
    3. Gardes, Yonnel & May, Adolf D., 1990. "Traffic Modeling To Evaluate Potential Benefits Of Advanced Traffic Management And In-vehicle Information Systems In A Freeway/Arterial Corridor," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt70c6600f, Institute of Transportation Studies, UC Berkeley.
    4. Gardes, Yonnel & May, Adolf D., 1993. "Simulation Of IVHS On The Smart Corridor Using The Integration Model: Phase 1: Initial Investigations," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt2pv883tz, Institute of Transportation Studies, UC Berkeley.
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