A framework of data processing for decision making in railway intelligent infrastructure

Intelligent infrastructure is an architecture that enables generation of immediate, accurate and relevant information about the state of any type of infrastructural asset and converts this information to timely and reliable decision aids. The study presented in this paper identifies the scope of railway intelligent infrastructure system via a mixed contextual and sequential approach. The output from this study is a framework that identifies and explores the data processes required for decision making within a railway intelligent infrastructure system. Findings will assist designers to present the correct level of detail for various stages identified for intelligent infrastructure.