Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/89503
Title: Fuzzy cellular automata model for signalized intersections
Authors: Chai, Chen
Wong, Yiik Diew
Keywords: Cellular Automata
Signalized Intersections
Issue Date: 2015
Source: Chai, C., & Wong, Y. D. (2015). Fuzzy cellular automata model for signalized intersections. Computer-Aided Civil and Infrastructure Engineering, 30(12), 951-964.
Series/Report no.: Computer-Aided Civil and Infrastructure Engineering
Abstract: At signalized intersections, the decision‐making process of each individual driver is a very complex process that involves many factors. In this article, a fuzzy cellular automata (FCA) model, which incorporates traditional cellular automata (CA) and fuzzy logic (FL), is developed to simulate the decision‐making process and estimate the effect of driving behavior on traffic performance. Different from existing models and applications, the proposed FCA model utilizes fuzzy interface systems (FISs) and membership functions to simulate the cognition system of individual drivers. Four FISs are defined for each decision‐making process: car‐following, lane‐changing, amber‐running, and right‐turn filtering. A field observation study is conducted to calibrate membership functions of input factors, model parameters, and to validate the proposed FCA model. Simulation experiments of a two‐lane system show that the proposed FCA model is able to replicate decision‐making processes and estimate the effect on overall traffic performance.
URI: https://hdl.handle.net/10356/89503
http://hdl.handle.net/10220/44938
ISSN: 1093-9687
DOI: http://dx.doi.org/10.1111/mice.12181
Rights: © 2015 Computer-Aided Civil and Infrastructure Engineering. This is the author created version of a work that has been peer reviewed and accepted for publication in Computer-Aided Civil and Infrastructure Engineering, published by Wiley on behalf of Computer-Aided Civil and Infrastructure Engineering. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1111/mice.12181].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:CEE Journal Articles

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