Route-Based Stochastic Traffic Assignment Based on Fuzzy Perceived Travel Time

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Etezady, Mohammad Ali | 2014

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 46020 (09)
University: Sharif University of Technology
Department: Civil Engineering
Advisor(s): Shafahi, Yousef
Abstract:
Traffic assignment model, as the last step to the well-known four-step planning models, have been under a special research focus to better capture the uncertainty in the decision-making process of the users. Researchers' use of fuzzy cost for travel time and stochastic assignment models have each aimed at considering the variation in perception of users and uncertainty in their route choices. This thesis has proposed two route-based stochastic assignment models that exploit the fuzzy theory to model network users' perception of travel time and stochastic assignment to model their route choice process. A simulation approach has been exploited to generate the routes prior to the assignment step. The real-network results show a good level of precision in estimating the link volumes of the network
Keywords:
Fuzzy Theory ; Stochastic Assignment Problem ; Urban Transportation Network ; Route-Based Stochastic Traffic Assignment ; Explicit Path Enumeration

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