Name
Abstract | ||
|---|---|---|
Traffic monitoring is a key enabler for several planning and management activities of a Smart City. However, traditional techniques are often not cost efficient, flexible, and scalable. This paper proposes an approach to traffic monitoring that does not rely on probe vehicles, nor requires vehicle localization through GPS. Conversely, it exploits just a limited number of cameras placed at road int... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TITS.2018.2829086 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | Field | DocType |
Monitoring,Roads,Tomography,Cameras,Delays,Smart cities | Inference,Simulation,Downtown,Exploit,Real-time computing,Network tomography,Smart city,Global Positioning System,Engineering,Scalability,Cost efficiency | Journal |
Volume | Issue | ISSN |
19 | 7 | 1524-9050 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ruoxi Zhang | 1 | 1 | 0.35 |
| Sara Newman | 2 | 1 | 0.35 |
| Marco Ortolani | 3 | 209 | 21.31 |
| S. Silvestri | 4 | 275 | 29.61 |