Short-term traffic flow prediction plays an important role in route guidance and traffic management. K-NN is considered as one of the most important methods in short-term traffic forecasting, but some disadvantages limit the widespread application. In this paper, we use four tests to find the key factors of the K-NN method, which will give inspires to the further research to improve the method.


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    Title :

    Key Factors of K-Nearest Neighbours Nonparametric Regression in Short-Time Traffic Flow Forecasting


    Additional title:

    Proceedings of the International Conference on Industrial Engineering and Engineering Management


    Contributors:
    Qi, Ershi (editor) / Shen, Jiang (editor) / Dou, Runliang (editor) / Zhong, Jing-ting (author) / Ling, Shuai (author)


    Publication date :

    2015-01-07


    Size :

    4 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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