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《China Journal of Highway and Transport》 2003-01
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Integrated traffic flow forecasting and traffic incident detection algorithm based on non-parametric regression

GONG Xiao yan, TANG Shu ming (Intelligent Control and System Engineering Center, Institute of Automation of Chinese Academy of Science, Beijing 100080, China)  
Although short term traffic flow forecasting algorithm is widely used today,some questions still exist. To address these issues, here an KNN NPR(K Nearest Neighbors Non Parametric Regression) based integrated algorithm which can make traffic flow forecasting and traffic event detection at the same time is proposed. Then in order to improve the accuracy and computing speed of the proposed algorithm, authors put forward two improvements which are improved in variable K search method based on “dense degree” and advanced data structures based on dynamic cluster method and hash function transformation.Field test fully proves two improvements, which the proposed algorithm can adequately meet real time system requirements and accuracy requirements.
【CateGory Index】: U491.112
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