Moj.io, Inc.

Narayan Sainaney

Damon Jay Giraud

Tejas Ashokkumar Vora

Philip Fu

Tejas Vora

A computing system implements a telematics service that obtains a set of vehicle telematics data for each vehicle of a population. Within each set of vehicle telematics data, a set of time-based measurements for a measurement type is identified. The set of time-based measurements identified for each vehicle are combined to obtain a combined set of time-based observations for the measurement type across the population of vehicles or a sub-set of the population defined by vehicle make, model, and/or year of production. An outlier observation is identified from among the combined set of time-based observations. A determination is made whether the outlier observation is part of a temporary deviation or a persistent deviation. For a temporary deviation, an impact of the outlier observation on the set of time-based measurements is reduced. For a persistent deviation, the outlier observation is programmatically characterized.

Reconciling outlier telematics across monitored populations

A telematics platform including a telematics service and a telematics device interfacing with an on-board electronic system of a vehicle, performs a compatibility workflow with respect to the vehicle-telematics device compatibility and data accuracy. The compatibility workflow may include multiple phases in which telematics data is assessed for compatibility or inaccuracies based on pre-established compatibility data obtained from a population of other vehicle-telematic device interactions, user-reported compatibility data, and vehicle-specific compatibility data. Incompatibility or inaccuracies in telematics data may be used to activate/deactivate or continue/discontinue interactions between the vehicle and the telematics device, and to inform users of the incompatibility of the vehicle-telematics device pair, or inaccuracies in the telematics data.

Vehicle telematics compatibility

A service platform processes telemetry data streams communicated by remote data sources, such as telematics devices located on-board a population of vehicles. The service platform includes two data processing stacks having different performance parameters. A high performance data processing stack includes a first application layer and a first database layer that collectively exhibit lesser latency between write/read persistency for a given task load. A low performance data processing stack includes a second application layer and a second database layer that collectively exhibit greater latency between write/read persistency for the same task load as compared to the high performance data processing stack. For each telemetry data stream received from a data source, depending on an operating state of that data source, messages of the data stream are directed to the high performance data processing stack or to the low performance data processing stack for processing.

Processing telemetry data streams based on an operating state of the data source

Operating state information is received at an on-board telematics control unit (TCU) from an on-board diagnostic (OBD) system of a vehicle. The TCU transmits an indication of vehicle state over at least a wireless data link component of a communications network for delivery to a mobile computing device. The mobile computing device receives the indication of vehicle state and utilizes the indication of vehicle state at a mobile application program. In one example, the mobile application program presents vehicle state information via a graphical display of the mobile computing device. In another example, the mobile application program augments a functionality of the mobile computing device responsive to the indication of vehicle state.

Growing community of inventors

Vancouver, Canada

Narayan Sainaney