Dantas, A.Yamashita, Y.Lamar, M.V.2007-07-272007-07-272003Dantas, 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.http://hdl.handle.net/10092/300We 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.ptConference Contributions - PublishedFields of Research::290000 Engineering and Technology::290800 Civil Engineering::290803 Transport engineeringFields of Research::280000 Information, Computing and Communication Sciences::280200 Artificial Intelligence and Signal and Image Processing::280212 Neural networks, genetic algorithms and fuzzy logicFields of Research::310000 Architecture, Urban Environment and Building::310100 Architecture and Urban Environment::310103 Urban and regional planning