A Proposal for Design and Implementation of an Hybrid Navigation System Based on Open Data, Augmented Reality and Big Data Applications for the Smart Cities

Indoor positioning and navigation systems have attributes which make their use inadvisable in certain applications. Our main purpose is to investigate these issues in order to improve accessibility in Smart Cities. In the last decade, there are increasing efforts to develop a sustainable and precise indoor navigation system to be used in any situation. There are interesting proposals but they suffer from various constraints (accuracy, cost, complexity, etc), so the use of hybrid and targeted solutions is mandatory. In an effort to address these problems, in this study we will develop an affordable and accurate indoor location system. Firstly, we will use geodata from the the Open Data initiative of the Spanish Conference of University Rectors. After studying its data model, we will create new methods to automatically derive new geometric layers, useful for accessibility studies. Then, all relevant information will be published via standard protocols and web services. In the second phase of this project, we will design an indoor positioning network (Bluetooth, WiFi, etc) based on indoor mapping. Finally, this positioning and navigation system will be used for performing different mobility experiments from the Smart Cities perspective.