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| Title: | Neural geo-spatial model: a strategic planning tool for urban transportation |
| Authors: | Dantas, A.
Yamamoto, K.
Lamar, M.V.
Yamashita, Y. |
| Issue Date: | 2000 |
| Citation: | Dantas, A., Yamamoto, K., Lamar, M.V., Yamashita, Y. (2000) Neural geo-spatial model: a strategic planning tool for urban transportation. Wessex, UK: 6th International Urban Transport Conference: Urban TransportVI, Sept 2000. Urban Transport VI, 257-265. |
| Source: | http://library.witpress.com/pages/listPapers.asp?q_bid=98 |
| Abstract: | 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-temporal 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 does mean that the integration of techniques used in this model is appropriated. |
| Publisher: | WIT Press
University of Canterbury. Civil Engineering. |
| Research Fields: | Fields of Research::290000 Engineering and Technology::290800 Civil Engineering::290803 Transport engineering |
| URI: | http://hdl.handle.net/10092/222 |
| Rights URI: | http://library.canterbury.ac.nz/ir/rights.shtml |
| Appears in Collections: | Conference Contributions
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