This study presents a robust algorithm that can deal with the incomplete volume information so as to significantly improve the estimation accuracy. To tackle the inevitable measurement data error or only partially available information, the proposed robust algorithm converts each piece of model input data into one interval with its upper and lower bounds best approximated from historical data or/and prior knowledge. A simulated system, the I-95 freeway corridor between I-495 and I-695, has been created to generate example data and to perform the numerical evaluation of the developed robust algorithm.


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    Titel :

    A Robust Algorithm of Estimating Dynamic O-D Matrix for Large Freeway Networks with Measurement Errors


    Beteiligte:
    Lin, Pei-Wei (Autor:in) / Chang, Gang-Len (Autor:in)

    Kongress:

    Ninth International Conference on Applications of Advanced Technology in Transportation (AATT) ; 2006 ; Chicago, Illinois, United States



    Erscheinungsdatum :

    2006-08-04




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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