Through analysis of historical data of subway transportation, use the model extracted from the law of normal and large-scale activities’ passenger traffic flow and combine the pattern library established by large-scale events’ attribute information, this paper describes a method that provides a way to forecast the subway traffic passenger flow when a large-scale activity will happen. Before the occurrence of large-scale activities,We analysis and forecast the in and out passenger flow for the stations ,which around the place where the large-scale activity will happen ,and the entire road network which could describe the effect of this activity to the whole network .This system able to provide passengers with a travel reference to ensure the travel speed, security and comfort, and provide an important basis for the traffic management department to realize the effective real-time scheduling .


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    Titel :

    Study of the Intelligent Analysis and Prediction about Subway Passenger Flow during Large-Scale Events



    Erschienen in:

    Advanced Materials Research ; 765-767 ; 625-629


    Erscheinungsdatum :

    2013-09-04


    Format / Umfang :

    5 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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