Shashika Ranga Muramudalige
ABSTRACT
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.
- Cugola, G., & Margara, A. Processing Flows of Information: Data Stream to Complex Event Processing. ACM Computing Surveys, 44(3), 1--62. Google Scholar
Digital Library
- Julien F., Data processing architectures -- Lambda and Kappa, Erricson Research Blog.Google Scholar
- On Board Diagnostics (OBD) ICs. ELM ElectronicGoogle Scholar
Index Terms
- Demo: Cloud-Based Vehicular Data Analytics Platform
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