Name
Title | ||
|---|---|---|
Datafying City: Detecting And Accumulating Spatio-Temporal Events By Vehicle-Mounted Sensors |
Abstract | ||
|---|---|---|
The datafication of spatio-temporal city-wide events is one essential factor for smart management of the city. For this purpose, the combination of real-time event detection on edge sensor nodes mounted public vehicles, and event accumulation on a server is one realistic and efficient solution. We can analyze the accumulated data to understand complex phenomena occurring in entire the city. In this paper, we introduce a novel datafication procedure of city-wide events by sensor mounted garbage trucks and evaluated the preliminary implementation of event detection system on actual vehicle-mounted sensors. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/BigData.2017.8258428 | 2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) |
DocType | ISSN | Citations |
Conference | 2639-1589 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yasue Kishino | 1 | 207 | 25.44 |
| Koh Takeuchi | 2 | 59 | 11.29 |
| Yoshinari Shirai | 3 | 0 | 0.34 |
| Futoshi Naya | 4 | 144 | 19.12 |
| Naonori Ueda | 5 | 1902 | 214.32 |