Demo
| Autor: | H. M. N. Dilum Bandara, Shashika R. Muramudalige |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
business.industry Event (computing) Computer science Dongle Real-time computing Complex event processing Cloud computing 02 engineering and technology law.invention Bluetooth On-board diagnostics 020901 industrial engineering & automation law 020204 information systems Embedded system 0202 electrical engineering electronic engineering information engineering Global Positioning System Telematics business |
| Zdroj: | MobiSys (Companion Volume) |
| DOI: | 10.1145/2938559.2948849 |
| Popis: | A cloud based, Vehicular Data Analytics Platform (VDAP) to identify unusual driving behaviors, evaluate driving habits, monitor health status of vehicles, and track fleets of vehicles is presented. The platform is capable of ingesting data from multiple sources such as On Board Diagnostics (OBD) port, GPS, sensor units, and smart phones. Initial system consists of an OBD port to Bluetooth dongle, an app running on a smartphone, and a cloud-based backend. Based on OBD data, Complex Event Processors (CEPs) at both the smartphone and backend detect and notify unsafe and anomalous events in real time. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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