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    Modelo Neuro-geo-espacial para a previsao da demanda de viagens no contexto do planejamento estrategico

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    Author
    Dantas, A.
    Yamamoto, K.
    Lamar, M.V.
    Yamashita, Y.
    Date
    2000
    Permanent Link
    http://hdl.handle.net/10092/281

    A strategic planning model for urban transportation analysis is presented. This model is based on the incorporation and representation of the land use-transportation system interaction under a spatial approach to forecast travel demand within urban areas. This conception becomes possible due to the integration of Neural Networks (NN), Geographical Information Systems (GIS) and Remote Sensing (RS). A case study in Boston Metropolitan Area was conducted to verify the efficiency of the model and evaluate the best NN structure and also changes in the hidden and output layers were simulated. A recognition rate of 94% was reached expressing the successful definition of the NN. It also does mean that the integration of techniques used in this model is appropriated.

    Subjects
    Fields of Research::280000 Information, Computing and Communication Sciences::280200 Artificial Intelligence and Signal and Image Processing::280212 Neural networks, genetic algorithms and fuzzy logic
     
    Fields of Research::290000 Engineering and Technology::290800 Civil Engineering::290803 Transport engineering
     
    Fields of Research::310000 Architecture, Urban Environment and Building::310100 Architecture and Urban Environment::310103 Urban and regional planning
    Collections
    • Engineering: Conference Contributions [2012]
    Rights
    https://hdl.handle.net/10092/17651

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