Alignment of road through corridor analysis of raster grid using least relative cost approach

Using raster layers to create a route alignment based on multiple criteria factors proves beneficial for developing a total grid cost layer, which can be employed at various stages of multiple parameter decision evaluation (MPDE). Integrating lowest cost alignment algorithm into a prospective view of ground or employing false color generated synthesized data of remote sensing and can enhance the procedure of planning and aid in formulating execution means. The optimal design of route alignment relies on multiple factors considered during the corridor analysis model, enabling the identification of the effective road path from a source location to a specified destination. To accomplish this, a grid data layer depicting landscape types can be prepared, utilizing per pixel based classification of images to generate a relative cost layer. Additionally, using digital surface model, slope grid layer could be derived. The optimal path is determined by minimizing costs considering the environmental, socioeconomic, and technological factors. This grid based corridor evaluation was implemented in the Hesarghatta region to assess its applicability for constructing roads.