Smart city projects are making available numerous, diverse, potentially valuable data streams. However, it is cumbersome and laborious for domain experts to identify, analyse and inter-relate such streams. In this paper we describe a system that is designed to support these users to obtain an understanding of key features of individual streams, and to undertake a variety of analyses that inter-relate multiple streams. Three case studies are presented, showing the use of the system to process live car-park, weather, building energy consumption and bicycle journey data from the CityVerve Smart City project in Manchester.
|Title of host publication||20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018, Exeter, United Kingdom, June 28-30, 2018.|
|Publication status||Published - 2019|
|Event||16th IEEE International Conference on Smart City - Exeter, United Kingdom|
Duration: 28 Jun 2018 → 30 Jun 2018
|Conference||16th IEEE International Conference on Smart City|
|Abbreviated title||SmartCity 2018|
|Period||28/06/18 → 30/06/18|