Cloud-based driver monitoring and vehicle diagnostic with OBD2 telematics

Abstract

We present a cloud-based vehicular data acquisition and analytics system for real-time driver behavior monitoring, trip analysis, and vehicle diagnostics. Our system consists of an On Board Diagnostics (OBD) port to Bluetooth dongle, a mobile app running on a smart phone, and a cloud-based backend. We use a Complex Event Processor (CEP) at both the smart phone and the backend to detect and notify unsafe and anomalous events in real time. For example, CEP engine at the smart phone can alert the driver about rising coolant temperature and rapid fuel drops. It also provides a trip log and filter out what messages to be send to the backend, saving both the bandwidth and power. CEP on the cloud detects reckless driving in real time based on the sensor data provided through the OBD port. Historical data is also used by the backend CEP engine to detect driving anomalies and to predict impeding sensor failures. The mobile app visualizes both real-time data from sensors and alerts. A web-based interface is provided to access the backend information. We tested the system on actual vehicles and demonstrated that the computing, bandwidth, and power consumption of the smart phone is reasonable. App is currently available in Google Play.