Geotab Patente

System relating to a telematic vehicle sharing platform ecosystem and a telematic vehicle share I/O expander to automate sharing and management of a vehicle that is shared by more than one operator.

System, apparatus, device and methods relating to a telematic vehicle sharing platform ecosystem and a telematic vehicle share I/O expander to automate sharing and management of a vehicle that is shared by more than one operator.

The present disclosure relates to systems and methods for identifying commercial domiciles. An example of one such method includes operating at least one processor to: receive telematics data originating from a plurality of telematics devices installed in a plurality of vehicles; identify, using the telematics data, a vehicle stop zone, each vehicle stop zone comprising a vehicle stop cluster; and identify the vehicle stop zone as a commercial domicile by applying to the vehicle stop cluster of the vehicle stop zone at least one machine learning model trained to classify vehicle stop zones based on one or more vehicle stop features thereof.

Disclosed herein are systems and methods for determining a likelihood of a vehicle tow. An example of one such method involves operating at least one processor to: receive telematics data originating from a plurality of telematics devices installed in a plurality of vehicles; identify, using the telematics data, a diagnostic trouble code (DTC) cycle experienced by one or more of the plurality of vehicles, the DTC cycle corresponding to a reporting of a DTC during a plurality of vehicle ignition cycles; determine, for each vehicle that experienced the DTC cycle, whether a tow event occurred; determine, for each vehicle for which the tow event occurred, a vehicle downtime associated with the tow event; determine whether a termination of the DTC cycle is associated with the tow event based at least in part on when the reporting of the DTC terminates relative to the vehicle downtime; and determine the likelihood of a vehicle tow for the DTC based at least in part on a number of vehicles for which the termination of the DTC cycle is associated with the tow event.

Disclosed are systems and methods for assessing driving risk in the field of vehicle telematics. The disclosed technology addresses the challenge of evaluating risk from raw, irregularly sampled telematics time series. The system comprises at least one data storage for telematics data and at least one processor operable to determine velocity vectors, longitudinal acceleration, and lateral acceleration from geospatial data, identify trip subintervals with non-zero speed events, and detect anomalous trip events using a stochastic model, such as a continuous-time hidden Markov model. The processor flags events exceeding a threshold as anomalous. A trip risk score is calculated based on the proportion of anomalous events. Principal uses include insurance premium adjustment, fleet management, and driver coaching. The disclosed technology further encompasses processes and non-transitory computer-readable media for implementing these functionalities.

Systems, methods, devices, and models for identifying preventable idling in vehicles are described. Preventable idling events are identified which are outside of acceptability criteria, such as idling duration. Preventable idling events can be associated with drivers and/or vehicles to provide avenues to curb preventable idling. Fuel consumption and/or carbon emissions for preventable idling events are identified to quantify efficacy of curbing preventable idling. Histograms and concentration maps are generated to identify high-concentration idling events, and take targeted action.

A method in a telematics system is provided. The method is for identifying an asset category of a plurality of asset categories. The method includes executing category identifying asset data queries after excluding error causing asset data requests from a main list and excluding asset categories from the main list based on the result of executing category identifying asset data queries. The steps are repeated until a single asset category remains in the main list. A telematics system including a telematics server, a telematics database coupled to the telematics server, a network, and a telematics device is provided, the telematics system configured for carrying out the method.

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Systems, methods, models, and training for collision detection and near miss detection are discussed. Models are trained to identify collisions and near misses between two vehicles, based on how quickly a bounding box size changes for a vehicle represented in image data. Rapidly changing bounding box size is indicative of extreme proximity between vehicles, and thus indicative of collision or near-miss scenarios. Identifications of collisions or near misses can be reported to a remote operator, to send emergency assistance, perform driver evaluation, or alert other drivers in the area of risks.

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Described herein are methods of processing telematics data that include receiving initial telematics data related to a vehicle from a telematics device and processing the initial telematics data to generate processed telematics data. For each recipient of a plurality of recipients, the methods additionally include determining, from the initial telematics data and/or the processed telematics data, data that is to be made accessible to a recipient. Determining the data that is to be made accessible to the recipient comprises evaluating one or more constraints for the recipient that constrain what data the recipient is permitted to receive and determining what data has been requested to be provided to the recipient. For each recipient of a plurality of recipients, the methods additionally include distributing the determined data to the recipient. Also described herein are systems for processing telematics data in accordance with the described methods.

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A telematics device and a method by the telematics device are provided. The method includes detecting a vehicle starting event and sending a first plurality of parameter requests while refraining from sending a second plurality of parameter requests for a requests-off duration after the vehicle starting event. After the expiry of the requests-off duration, sending the second plurality of parameter requests. In response to detecting a vehicle turning off event, sending a third request before the expiry of a post vehicle turning off duration.

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Systems and methods for restricting the use of vehicle operator's electronic device are provided. In a method a telematics server determines that a vehicle's engine is running, and that the operator registered with the vehicle is in the driver's seat. In response, the telematics server sends a message to the vehicle operator's terminal for changing the configuration thereof. A system including a telematics device, telematics server, and operator terminal may carry out the method. The system and method can be used to restrict the use of electronic devices by drivers sitting in a vehicle with the engine running in accordance with laws in certain jurisdictions.

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Apparatus, device, methods and system relating to a vehicular telemetry environment for classifying vehicle vocation and benchmarking vehicle performance relative to other vehicles of the same vocation are disclosed.

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