Making IoT Data Ready for Smart City Applications

Abstract

Modern smart city projects are evolving to the next level of data-centric situation awareness and decision makings, thereby requiring much intensive data integration over various data sources made from city space. In order to satisfy a variety of data demands for diverse smart city applications, we have been developing an integrated IoT data service, IoTDA, to provide essential data-oriented services from data collecting to deep learning based data analysis. In this paper, we introduce the overall architecture and functions of the service platform and explain how the platform will be used with a case study of road surface analysis. In particular, we examine how our data service can be connected to public smart city applications and present the common direction that these types of urban data services should provide for advanced city services.