CASE-BASED REASONING FOR ASSESSING INTELLIGENT TRANSPORTATION SYSTEMS BENEFITS

Current transport planning modeling tools have critical limitations with respect to assessing the benefits of intelligent transportation systems (ITS) deployment. In this paper, a novel framework for developing modeling tools for quantifying ITS deployments benefits is presented. The approach is based on use of case-based reasoning, an artificial intelligence paradigm, to capture and organize the insights gained from running a dynamic traffic assignment (DTA) model. To demonstrate the feasibility of the approach, this study develops a prototype system to evaluate benefits of diverting traffic away from incident locations using variable message signs. A real-world network from the Hartford (Connecticut) area is used in developing the system. Performance of the prototype is evaluated by comparing its predictions to those obtained using a detailed DTA model. The prototype system is shown to yield solutions comparable to those obtained from the DTA model, demonstrating the feasibility of the approach.

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  • Corporate Authors:

    Blackwell Publishing

    350 Main Street
    Malden, MA  United States  02148
  • Authors:
    • Sadek, A
    • Morse, S
    • Ivan, J
    • El-Dessouki, W
  • Publication Date: 2003-5

Language

  • English

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Filing Info

  • Accession Number: 00941061
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Apr 15 2003 12:00AM