WIT Press


Neural Geo-spatial Model: A Strategic Planning Tool For Urban Transportation

Price

Free (open access)

Paper DOI

10.2495/UT000251

Volume

49

Pages

9

Published

2000

Size

1,178 kb

Author(s)

A. Dantas, K. Yamamoto, M.V. Lamar & Y. Yamashita

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 (CIS) 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 r

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