Volume 9 Number 1 (Jan. 2014)
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JCP 2014 Vol.9(1): 12-21 ISSN: 1796-203X
doi: 10.4304/jcp.9.1.12-21

A Comparison of Mamdani and Sugeno Fuzzy Inference Systems for Traffic Flow Prediction

Yang Wang, Yanyan Chen
Beijing Key Lab of Traffic Engineering, Beijing University of Technology, Beijing, China
Abstract—Information on the future state of traffic flow provides a solid foundation for the efficient implementation of traffic control and guidance. The prediction approaches based on fuzzy logic theory is of great interests, because the rule-based inference is similar to the way humans process casual relations and fuzzy linguistic variables provide a natural way to deal with uncertainties. This paper presents a comparative study on a set of widely used Mamdani and Sugeno fuzzy inference systems in the application on the short-term prediction for traffic flow based on the historical recordings. To fulfill the comparison, a series of experiments was designed and performed to evaluate prediction performance for each fuzzy inference system in terms of model complexity, execution time, noise resistance, performance consistency, missing data, and multi-stepahead predictability. Before discussing the primary results, a description on the fuzzy inference systems, evaluation factors and criteria was given. The analyses on the experimental results led to several findings which can be referenced when choosing a FIS for traffic flow prediction based on historical recordings.

Index Terms—Traffic flow prediction, fuzzy inference systems, defuzzification mechanisms, traffic flow time series

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Cite: Yang Wang, Yanyan Chen, "A Comparison of Mamdani and Sugeno Fuzzy Inference Systems for Traffic Flow Prediction," Journal of Computers vol. 9, no. 1, pp. 12-21, 2014.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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