The paper describes an application of a neural network model to estimation of vehicle parking conditions. Different from a conventional method which uses the linear regression relationship between the partial and total parking rate, the new method is concerned with the nonlinear relation between them. The structures of this neural network model are presented in detail. To verify the validity of the proposed method, we compare simulated results of the proposed method with the conventional method using data counted by people. Good results are obtained in comparison with the conventional method. The paper also gives a practical application which has been done in Ashigara SA on the Tomei highway.


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    Title :

    An estimation method of the parking condition using a neural network model


    Additional title:

    Ein Schätzverfahren für Fahrzeugparkbedingungen mit Hilfe eines neuronalen Netzmodells
    Titel japanisch


    Contributors:
    Ueda, K. (author) / Horiba, I. (author) / Ikegaya, K. (author) / Onodera, H. (author)


    Publication date :

    1994


    Size :

    10 Seiten, 11 Quellen



    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    Japanese






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