This paper is concerned with the task of travel time pre-diction of urban roadway. For improving the travel time predication ac-curacy, a travel time predication model based multi-source data fusion is proposed. The prediction procedure is divided into two phases, the estimation phase and the prediction phase The method is combined the historical traffic patterns with real-time traffic data as a linear. The resulting model is tested with realistic traffic data, and is found to perform well.


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    Title :

    Travel Time Prediction of Road Network Based on Multi-Source Data Fusion


    Contributors:

    Published in:

    Advanced Materials Research ; 490-495 ; 850-854


    Publication date :

    2012-03-15


    Size :

    5 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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