A Fuzzy Traffic Assignment Algorithm Based on Driver Perceived Travel Time of Network Links
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Scientia Iranica A (2011) 18 (2), 190–197 Sharif University of Technology Scientia Iranica Transactions A: Civil Engineering www.sciencedirect.com A fuzzy traffic assignment algorithm based on driver perceived travel time of network links H. Ramazani a, Y. Shafahi b, S.E. Seyedabrishami b,∗ a Department of Civil and Environmental Engineering, B106 Newmark Civil Engineering Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA b Department of Civil Engineering, Sharif University of Technology, Tehran, P.O. Box 11155-9313, Iran KEYWORDS Abstract Traffic assignment is a step of travel demand estimation. Given a trip origin–destination demand Assignment; matrix, this step determines traffic flow in each link, according to assumptions based on the behavior Fuzzy set; of drivers. Conventional assignment algorithms, which are mostly based on the Wardrop first principle Perceived travel time; of user equilibrium, assume that all drivers choose the shortest path to the destination, based on the Route choice; same travel time computed by travel time functions. However, in reality, driver perception of travel time Uncertainty. varies for a specific route. This paper presents a traffic assignment algorithm which assumes that driver perception of travel time affects route choices. Fuzzy set theory is used to define travel time perceived by drivers. A fuzzy equilibrium is suggested for the prediction of network flows. Next, a Fuzzy Incremental Traffic Assignment algorithm (FITA) is developed to utilize route Perceived Travel Time (PTT) for reaching the suggested fuzzy equilibrium.
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