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Estimation of Origin-Destination De-mand Matrices Using Fuzzy Approach

Talebian, Ahmad Reza | 2011

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 42589 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Shafahi, Yusof
  7. Abstract:
  8. Regardless of the traffic model and its application, an essential input of transportation models is the amount of demand which is usually described using Origin-Destination (OD) matrices. Due to high costs and time of direct development of such matrices, they are estimated indirectly from traffic measurements recorded from the network. Dynamic Origin-Destination demand provides valuable information on within-day fluctuation of traffic demand which could be used in analyzing congestion dissipation. In addition, they are essential inputs of dynamic traffic assignment (DTA) models. The current study presents a fuzzy approach to dynamic OD estimation problem. The problem is designed as a two level model in which the demand is estimated in upper level, and the lower level performs dynamic traffic assignment. In order to treat uncertainty in historical OD demands and observed link counts, data are modeled as triangular fuzzy numbers. Using fuzzy rules and fuzzy C-Mean clustering approach, the proposed method makes this information ready to be used in the optimization problem. The same process is performed on simulation outputs and the whole process makes the algorithm capable to employ different types of optimization methods. Box-Complex method has been utilized as a primary solving algorithm in empirical case studies. The study results in a synthetic network and a real network which show the robust performance of the proposed method, even in the case of using low quality historical demands
  9. Keywords:
  10. Fuzzy Theory ; Observed Link Volume ; Travel Demand Estimation ; Origin-Destination Matrix ; Advanced Traffic Management Systems

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