Modelagem neuro-geo temporal da demanda de viagens urbana

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dc.contributor.authorDantas, A.
dc.contributor.authorYamashita, Y.
dc.contributor.authorLamar, M.V.
dc.date.accessioned2007-07-27T02:40:05Z
dc.date.available2007-07-27T02:40:05Z
dc.date.issued2003en
dc.description.abstractWe describe a Neural-Geo Temporal Model (NGTM) for urban travel demand generation modelling. NGTM concentrates on the representation of temporal interactions between transportation system, land use patterns, spatial location and population that affect the generation of travel demand in urban areas. NGTM combines Neural Networks (NN) and Geographical Information System (GIS) in order to establish a recursive and non-linear modelling of trip generation. NGTM was applied to a case study in Nagoya City, Japan in order to verify its efficiency. NGTM was capable of predicting the trip generation for future development scenarios, considering the temporal evolution of the urban area.en
dc.identifier.citationDantas, A., Yamashita, Y., Lamar, M.V. (2003) Modelagem neuro-geo temporal da demanda de viagens urbana. Rio de Janeiro, Brazil: Proceedings of XVII Congresso de Ensino e Pesquisa em Transportes, Nov 2003. 1068-1079.pt
dc.identifier.urihttp://hdl.handle.net/10092/300
dc.language.isopt
dc.publisherUniversity of Canterbury. Civil Engineering.en
dc.rights.urihttps://hdl.handle.net/10092/17651en
dc.subject.marsdenFields of Research::290000 Engineering and Technology::290800 Civil Engineering::290803 Transport engineeringen
dc.subject.marsdenFields of Research::280000 Information, Computing and Communication Sciences::280200 Artificial Intelligence and Signal and Image Processing::280212 Neural networks, genetic algorithms and fuzzy logicen
dc.subject.marsdenFields of Research::310000 Architecture, Urban Environment and Building::310100 Architecture and Urban Environment::310103 Urban and regional planningen
dc.titleModelagem neuro-geo temporal da demanda de viagens urbanapt
dc.typeConference Contributions - Published
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