Towards Multi-Perspective Intelligent Layout Design for Context-Driven Route Navigation

With the growing research interest in intelligent pervasive environments, there is a need to plan our layouts with sufficient criteria modelling so as to provide support for context-driven route navigation. However, current spatial layout modelling and simulation tools are largely inadequate for the task required since they are based on manual and heuristic techniques and do not provide a rich resource of context that will very well reflect user-perceived models of a layout. In this paper, we present an initial proof of concept prototype of a multi-perspective intelligent layout design and analysis framework to support context-driven navigation. We aim to show that some of the ideas to emerge from the field of intelligent systems, HCI, semantic technologies and advanced simulation could be combined with novel techniques in GIS-based information and image processing to analyse and visualise traffic networks and layouts from a range of design, travel and user-related perspectives.