Traffic Flow Prediction with few Data Using Fuzzy Neural Network Method

Wei Zhou; Xiao Xue Wang

doi:10.4028/www.scientific.net/AMR.989-994.2684

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994Traffic Flow Prediction with few Data Using Fuzzy...

Traffic Flow Prediction with few Data Using Fuzzy Neural Network Method

Abstract:

Many machine learning approaches in the field of Artificial Intelligence (AI) have been developed. Most of them rely on using large data sets to build up knowledge. However, the traffic system usually has only few data. In this article, the so-called adaptive neural fuzzy inference systems (ANFIS) is employed to predict the traffic time-series with few data, including flow, speed and occupancy

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

2684-2687

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.2684

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Online since:

July 2014

Authors:

Wei Zhou*, Xiao Xue Wang

Keywords:

Fuzzy Neural Network (FNN), Prediction, Traffic Flow

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* - Corresponding Author

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