Loading...

A practical O-D matrix estimation model based on fuzzy set theory for large cities

Shafahi, Y ; Sharif University of Technology

617 Viewed
  1. Type of Document: Article
  2. Abstract:
  3. Estimanon of the origin-destination trip danad matrix (O-D) plays a key role in travel analysis and transportation planning and operations. Many researchers have developed different O-D maths estimation mediods using traffic counts, which allow simple data collection as opposed to die costly traditional direct estimation methods based on home and roadside interviews. In mis papet, a new fuzzy O-D matrix estimation model (FODMEM) is proposed to estimate die O-D matrix from traffic count. A gradient-based aigoridnn. containing 3 fuzzy rule based approach to control die estimated O-D matrix changes, is proposed to solve FODMEM Since link data only represents a snapshot situation, resulting in inconsistency of data and poor quality of die estimated O-D's. die proposed method considers link data as fuzzy values diat vary widiin a certain bandwidth. An equilibrium based fuzzy assignment mediod is proposed to assign die estimated O-D matrix, which causes die assigned volume: to be fuzzy numbers. The shortest pam algorithm of the proposed mediod is nrnhr to die Floyd-Warshall algondim. and we call it die Fuzzy Floyd-Warshall Algorimm (FFWA). We introduce 3 new fuzzy comparing index to compare and estimate die distance between die assigned and observed link volumes and die model is formulated based on dns index. FODMEM is implemented m Mashhad city in Iran Real data obtained from Mashhad Comprehension Transportation Study (MCTS) are used in dns study and results are presented to show high capability of FODMEM to estimate O-D matrix in large networks. © ECMS
  4. Keywords:
  5. Fuzzy theoiy ; O-D matrix estimation ; Traffic counts ; Data collection ; Estimation methods ; Fuzzy numbers ; Fuzzy rule based ; Fuzzy theoiy ; Gradient based ; Large cities ; Large networks ; O-D matrix ; Origin destination ; Traffic counts ; Transportation planning ; Travel analysis ; Estimation ; Fuzzy rules ; Fuzzy set theory ; Internet protocols ; Quality control ; Transportation ; Dies
  6. Source: Proceedings - 23rd European Conference on Modelling and Simulation, ECMS 2009, 9 June 2009 through 12 June 2009, Madrid ; 2009 , Pages 77-83 ; 0 ; 9780955301889 (ISBN)
  7. URL: http://www.scs-europe.net/conf/ecms2009/ecms2009%20CD/ecms2009%20accepted%20papers/is_0036_c53bf2bb.pdf