Fuzzy cellular automata model for signalized intersections
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 de...
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sg-ntu-dr.10356-895032020-03-07T11:43:39Z Fuzzy cellular automata model for signalized intersections Chai, Chen Wong, Yiik Diew School of Civil and Environmental Engineering Centre for Infrastructure Systems Cellular Automata Signalized Intersections 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. MOE (Min. of Education, S’pore) Accepted version 2018-06-01T08:29:43Z 2019-12-06T17:27:09Z 2018-06-01T08:29:43Z 2019-12-06T17:27:09Z 2015 Journal Article Chai, C., & Wong, Y. D. (2015). Fuzzy cellular automata model for signalized intersections. Computer-Aided Civil and Infrastructure Engineering, 30(12), 951-964. 1093-9687 https://hdl.handle.net/10356/89503 http://hdl.handle.net/10220/44938 10.1111/mice.12181 en Computer-Aided Civil and Infrastructure Engineering © 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]. 14 p. application/pdf |
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Cellular Automata Signalized Intersections Chai, Chen Wong, Yiik Diew Fuzzy cellular automata model for signalized intersections |
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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. |
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School of Civil and Environmental Engineering |
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School of Civil and Environmental Engineering Chai, Chen Wong, Yiik Diew |
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Article |
author |
Chai, Chen Wong, Yiik Diew |
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Chai, Chen |
title |
Fuzzy cellular automata model for signalized intersections |
title_short |
Fuzzy cellular automata model for signalized intersections |
title_full |
Fuzzy cellular automata model for signalized intersections |
title_fullStr |
Fuzzy cellular automata model for signalized intersections |
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Fuzzy cellular automata model for signalized intersections |
title_sort |
fuzzy cellular automata model for signalized intersections |
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2018 |
url |
https://hdl.handle.net/10356/89503 http://hdl.handle.net/10220/44938 |
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1681038210798452736 |