Paper Info
Title
Extensions To Least-Cost Path Algorithms For Roadway Planning
Abstract
Finding a least-cost-path in a raster data format is a useful function in geographical information systems. However, existing algorithms are often inadequate for practical roadway planning. This paper improves conventional algorithms by including the considerations of spatial distances, anisotropic costs and the presence of bridges and tunnels in the paths. This new algorithm is implemented in JAVA to run with actual remote sensing and DEM data. The experimental results show that this approach produces realistic least-cost paths for practical roadway planning.
Year
DOI
Venue
2003
10.1080/1365881031000072645
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
Keywords
DocType
Volume
remote sensing,geographic information system
Journal
17
Issue
ISSN
Citations 
4
1365-8816
20
PageRank 
References 
Authors
1.42
8
3
Name
Order
Citations
PageRank
Chaoqing Yu1414.98
Jay Lee2223.21
Mandy J. Munro-stasiuk3212.23