A cloud based, vehicular data acquisition and analytics system for real-time driver behavior monitoring, trip analysis, and vehicle diagnostics is presented. The system consists of an On Board Diagnostics (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 detects and notifies unsafe and anomalous events in real time. For example, CEP at the smartphone alerts drivers about rising coolant temperature and rapid fuel drops. It also provides a trip log and filter out messages to be sent to the backend, saving both the bandwidth and power. Backend CEP detects reckless driving in real time. Backend also uses historical data to detect driving anomalies and predict impending sensor failures. The system is tested on actual vehicles and tests demonstrate that the computing, bandwidth, and power consumption of the smartphone are reasonable.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.