The invention discloses a road segment travel time deducing method based on a road space-time incidence relation. The method comprises a step 1 of performing statistic on road segment travel time traffic data on the basis of an intersection running state; a step 2 of extracting a characteristic relation between a target road segment and an adjacent road segment on the basis of a pass mode periodicity; and a step 3 of predicting target road segment travel time on the basis of a three-layer neural network model. In view of a fact that a conventional method cannot fully predict the road segment travel time when data losses, the method deduces the target road segment travel time by using road segment travel time big data and solves a problem of an incapability of deducing the travel time because of data sparseness. Further, verification is performed by means of Wuhan floating vehicle GPS historical data and manifests that the method is effective.


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    Title :

    Road segment travel time deducing method based on road space-time incidence relation


    Contributors:
    GUO WEI (author) / ZHANG FAMING (author) / ZHU XINYAN (author) / LIU YI (author)

    Publication date :

    2015-10-28


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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