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Abstract
Computer Visualization of Proposed Roads Using GIS and Neural Networks
Track: Modeling
Author(s): William Harvey, Denis Dean
The impact of constructing new roads is a concern to planners. Computerized visualization models predicting the appearance of proposed roads could prove valuable. The myriad of factors influencing visualizations, such as lighting, shade, and perspective, and factors influencing road impacts, such as topography and environment, make computer modeling of this type difficult. Using a GIS in conjunction with artificial neural networks (ANN) for visualization has had some success. This methodology could prove effective for adjusting pre-road aerial photography to reflect the impacts of road construction. The goal of this study is to evaluate the effectiveness of this combined GIS/ANN approach.
William Harvey
Geographic Information Technology, Inc.
101 Inverness Drive East
Suite 100
Englewood, CO 80112
USA
Phone: 303-708-9355
Fax: 303-708-9356
E-mail: bharvey@geoit.com