An artificial intelligent geographical-spatial model for urban transportation travel forecast (1999)
AuthorsDantas, A., Yamashita, Y., Hideshima, E., Yamamoto, K., Lamar, M.V.show all
It is described in this paper a formulation of a travel forecast model that incorporates the geographical-spatial reality of urban areas. Throughout such incorporation, the model aims to characterize the interaction between land use - transportation system, which is the basis to represent the displacements (trips) needs of human activities within the urban area. Geographical Information System, Remote Sensing are explored in the obtainment and processing of geographical-spatial data, mainly originated from satellite and aerial photograph images. The comprehension of urban dynamics that affect travel process is established through an "artificial intelligent" approach using Neural Networks. A case study is conducted in order to evaluate and discuss NN modelling for travel forecast.
CitationDantas, A.S., Yamashita, Y., Hideshima, E., Yamamoto, K., Lamar, M. V. (1999) An artificial intelligent geographical-spatial model for urban transportation travel forecast. Hong Kong, China: 20th Asia Conference on Remote Sensing, Session L-7, 048, 1999.
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