Modelo espacial - temporal para previsao da demanda de viagens baseado em redes neurais, SIG e sensoreamento remoto
| dc.contributor.author | Dantas, A. | |
| dc.contributor.author | Yamamoto, K. | |
| dc.date.accessioned | 2007-07-19T04:54:58Z | |
| dc.date.available | 2007-07-19T04:54:58Z | |
| dc.date.issued | 1999 | en |
| dc.description.abstract | This thesis report describes the elaboration of travel forecast model for strategic planning in urban transportation. The model conception intends to incorporate the spatial – temporal interaction between land use and transportation system as an essential element to quantify trips for future scenarios. In this sense, it is explored Neural Networks to represent such interaction and Geographical Information Systems and Remote Sensing potential to obtain and manipulate geographical – spatial data. | en |
| dc.identifier.citation | Dantas, A.S., Yamamoto, K. (1999) Modelo espacial - temporal para previsao da demanda de viagens baseado em redes neurais, SIG e sensoreamento remoto. Brazil: XIII ANPET, 1999. 35-38. | pt |
| dc.identifier.uri | http://hdl.handle.net/10092/254 | |
| dc.language.iso | pt | |
| dc.publisher | University of Canterbury. Civil Engineering. | en |
| dc.rights.uri | https://hdl.handle.net/10092/17651 | en |
| dc.subject.marsden | Fields of Research::290000 Engineering and Technology::290800 Civil Engineering::290803 Transport engineering | en |
| dc.subject.marsden | Fields of Research::370000 Studies in Human Society::370400 Human Geography::370401 Urban and regional studies | en |
| dc.subject.marsden | 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 | en |
| dc.title | Modelo espacial - temporal para previsao da demanda de viagens baseado em redes neurais, SIG e sensoreamento remoto | pt |
| dc.type | Conference Contributions - Other |
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