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Disaggregate mode choice analysis for work trips using genetic-fuzzy and neuro-fuzzy systems

Shafahi, Y ; Sharif University of Technology | 2006

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  1. Type of Document: Article
  2. Publisher: 2006
  3. Abstract:
  4. This paper applies the genetic-fuzzy and neuro-fuzzy systems to analyze a disaggregate mode choice problem for work trips. These two artificial intelligence methods have been widely used in many complex engineering problems recently. Some key points in developing genetic-fuzzy and neuro-fuzzy systems to analyze the mode choice problem for a large city are explained. Shiraz urban trips database is applied to prepare the data needed for the models. Results show that the developed models have good ability to estimate the existing situation and also to present reliable predictions for the future conditions of an urban transportation system
  5. Keywords:
  6. Artificial intelligence ; Bionics ; Fuzzy logic ; Fuzzy systems ; Soft computing ; Theorem proving ; Transportation ; Artificial intelligence methods ; Complex engineering problems ; Developed models ; Large cities ; Mode choice analysis ; Mode choices ; Neuro-fuzzy systems ; Urban transportation demand analysis ; Urban transportation systems ; Urban trips ; Neural networks
  7. Source: 10th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2006, Palma de Mallorca, 28 August 2006 through 30 August 2006 ; 2006 , Pages 250-255 ; 0889866104 (ISBN); 9780889866102 (ISBN)
  8. URL: https://www.actapress.com/Abstract.aspx?paperId=28188