Travel Speed Prediction Using Fuzzy Reasoning

Authors:
Yang Wang;Honghai Liu;Patrick Beullens;David Brown
Affiliations:
Institute of Industrial Research, University of Portsmouth, Portsmouth, UK PO1 3QL;Institute of Industrial Research, University of Portsmouth, Portsmouth, UK PO1 3QL;Department of Mathematics, University of Portsmouth, Portsmouth, UK PO1 3HF;Institute of Industrial Research, University of Portsmouth, Portsmouth, UK PO1 3QL
Venue:
ICIRA '08 Proceedings of the First International Conference on Intelligent Robotics and Applications: Part I
Year:
2008

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Abstract

The speed prediction algorithm introduced in this paper takes advantage of fuzzy systems that are insensitive to random noise, robust to uncertainties, and transparent to interpretation. The proposed algorithm for outlier detection selects the potential outliers based on the density rather than the deviation adopted in conventional approaches. To evaluate the developed system, a seris of experiments conducted on the real world data. The result of the comparison performed to evaluate the outliler detection method proposed reveals the benefit from the consideration of density. The cross validation results indicate the effectiveness of the fuzzy inference system developed.