@inproceedings{48b10a35c9d0431a9379e352f9c27003,
title = "Traffic status evaluation based on fuzzy clustering and RBF neural network",
abstract = "This paper introduces the C-means fuzzy clustering method to evaluate the road traffic status. During the analysis, road traffic status was categorized into four types by using ISODATA algorithm based on expert knowledge. Meanwhile, RBF neural network classification model was established to evaluate the road traffic status. The implementation results showed that the proposed method was capable of evaluating road traffic status, and reflecting the related quantitative fluctuations.",
keywords = "Fuzzy C-means clustering, ISODATA algorithm, RBF neural network, Road traffic status evaluation, Traffic congestion",
author = "Xiaofeng Liu and Daniel Sun and Yuntao Chang and Zhongren Peng",
year = "2010",
doi = "10.1109/FSKD.2010.5569188",
language = "English",
isbn = "9781424459346",
series = "Proceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010",
pages = "1405--1408",
booktitle = "Proceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010",
note = "2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010 ; Conference date: 10-08-2010 Through 12-08-2010",
}