Name
Abstract | ||
|---|---|---|
The infrastructure built in the City of Oulu provides rich information about the city environment and objects moving in it. We utilize this infrastructure in building an IoT system for data-intensive smart city services; by collecting data from real city environment and developing analysis methods for these data. We are building Smart City Traffic Pilot on top of the infrastructure to provide the functionality to collect the data and perform the analysis. Based on this experience, we present in this article requirements for data-intensive smart city services. Moreover, we describe four implemented use cases for utilizing rich data sources available in the smart city: situational picture, driving coach, real time reasoning, and mobile code. A lively collaboration between a large number of different actors is essential in realizing these use cases. Finally, we discuss how the use cases fulfill the requirements and the lessons we have learnt. |
Year | Venue | Keywords |
|---|---|---|
2016 | 2016 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | IoT, Smart City, digital, data fusion, decision making, Big IoT Data |
Field | DocType | Citations |
World Wide Web,Use case,Computer science,Internet of Things,Sensor fusion,Smart city,Situational ethics,Mobile code,City environment | Conference | 0 |
PageRank | References | Authors |
0.34 | 7 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Susanna Pirttikangas | 1 | 169 | 23.63 |
| Ekaterina Gilman | 2 | 77 | 11.83 |
| Xiang Su | 3 | 157 | 26.32 |
| Teemu Leppänen | 4 | 71 | 11.33 |
| Anja Keskinarkaus | 5 | 58 | 7.17 |
| Mika Rautiainen | 6 | 129 | 21.00 |
| Mikko Pyykkönen | 7 | 31 | 3.60 |
| Jukka Riekki | 8 | 701 | 85.55 |