this paper addresses a multi-criteria decision based methodology to develop a road network cost function for route finding analysis in a geographic information system (gis). over the years, several studies relating to route planning process in gis and intelligent transportation systems (its) have been conducted, most of which rely on the use of one-dimensional variables like distance or time as...

This paper describes a neural implementation of the resistive grid technique for route finding. The resistive grid, or Laplacian planning technique, is not plagued by local minima problems and guaranties and existing route to be found. The neural network comprises 2 layers. In the upper layer, lateral connections between neurons communicate information on the potentials of neighbouring nodes in...

In many advanced network analysis applications, like social networks, e-commerce, and security, hotspots are generally considered as a group of vertices that tightly connected owing to the similar characteristics, such common habits location proximity. this article, we investigate formation from an alternative perspective considers routes along paths auxiliary information, attempt find route in...

Path planning is an important problem in Artificial Intelligence and Robotics. In this paper we examine the problem of finding an optimal path for a road connecting two points in a digital approximation of a real terrain. Additional constraints, such as terrain gradients, will be introduced in order to achieve more realistic roads. A performance comparison will be made between the standard A* a...