Patent Issued for Vehicle driver performance based on contextual changes and driver response (USPTO 11529959): State Farm Mutual Automobile Insurance Company
2023 JAN 06 (NewsRx) -- By a
The assignee for this patent, patent number 11529959, is
Reporters obtained the following quote from the background information supplied by the inventors: “Vehicles are typically operated by a human vehicle operator (e.g., a vehicle driver) who controls both steering and motive controls. Currently known methods for determining or rating a driver’s performance typically include collecting telematics data from the driver’s vehicle while a driver operates the vehicle, and analyzing the collected data to generate a rating or determination of the driver’s performance in operating the vehicle. Typical telematics data that is collected to rate a driver’s performance include vehicle movement data such as speed, acceleration, cornering, braking, and the like. Other data that is conventionally used in rating a driver’s performance include the time of day, miles traveled, and whether (or not) and/or where the vehicle is garaged. Conventionally, a driver’s performance rating is reflected by an average over a period of time, such as a six-month or yearly average.”
In addition to obtaining background information on this patent, NewsRx editors also obtained the inventors’ summary information for this patent: “The present disclosure generally relates to systems and methods for determining or rating driver performance based on the context in which the driver is operating a vehicle and the driver’s responses (e.g., types of responses, time to respond, magnitude of response, etc.) to changes in the context. Embodiments of example systems and methods are summarized below. The methods and systems summarized below may include additional, less, or alternate actions, including those discussed elsewhere herein.
“In an embodiment, a system for determining driver performance may comprise a set of sensors fixedly attached to a vehicle being operated by a driver and a transmitter that is disposed at the vehicle to transmit, via a wireless communication channel, a first set of time-series data obtained by the set of sensors. Each data point included in the first set of time-series data may be associated with a respective time stamp and a respective geospatial location, for example. The system may further comprise one or more remote computing devices that are communicatively connected to the wireless communication channel and that include one or more processors, one or more memories, and a set of computer-executable instructions stored on the one or more memories. The set of computer-executable instructions may be executable by the one or more processors to collect, via the wireless communication channel, the first set of time-series data obtained by the set of sensors of the vehicle; map the first set of time-series data with a second set of time-series data, where the second set of time-series data is indicative of contextual attributes of an environment in which the vehicle is operating, and where each data point included in the second set of time-series data is associated with a respective time stamp and a respective geospatial location; generate, based on the mapped time-series data, a set of response data indicative of respective responses of the driver to one or more changes to one or more conditions that occur while the driver is operating the vehicle, where the set of response data includes data indicative of respective elapsed time intervals between respective occurrences of the one or more changes and the driver’s respective responses; and generate, based on the set of response data corresponding to the driver, an indication of a level of performance of the driver.
“In an embodiment, a method for determining driver performance may comprise collecting, via a wireless communication channel having one end terminating at a vehicle being operated by a driver, and by a set of remote computing devices communicatively connected to the wireless communication channel, a first set of time-series data obtained by a set of sensors fixedly attached the vehicle. Each data point included in the first set of time-series data may be associated with a respective time stamp and a respective geospatial location, for example. The method may also comprise mapping, by the set of remote computing devices, the first set of time-series data with a second set of time-series data, where the second set of time-series data is indicative of contextual attributes of an environment in which the vehicle is operating, and where each data point included in the second set of time-series data is associated with a respective time stamp and a respective geospatial location. Additionally, the method may comprise generating, by the set of remote computing devices and based on the mapped time-series data, a set of response data indicative of the respective responses of the driver to one or more changes to one or more conditions that occur while the driver is operating the vehicle, where the set of response data includes data indicative of respective elapsed time intervals between respective occurrences of the one or more changes to the one or more conditions and the driver’s respective responses; generating, based on the set of response data corresponding to the driver, an indication of a level of performance of the driver; and transmitting at least one of the indication of the level of performance of the driver or at least a portion of the set of response data corresponding to the driver to at least one of: the vehicle being operated by the driver, a user interface, or another computing device.
“Systems or computer-readable media storing executable instructions for implementing all or part of the systems and/or methods described herein may also be provided in some embodiments. Systems for implementing such methods may include one or more of the following: a special-purpose computing device, a mobile computing device, a personal electronic device, an on-board computer, one or more remote servers or cloud computing system, one or more remote data storage entities, one or more sensors, one or more communication modules configured to communicate wirelessly via radio links, radio frequency links, and/or wireless communication channels, and/or one or more non-transitory, tangible program memories coupled to one or more processors of the special-purpose computing device, mobile computing device, personal electronic device, on-board computer, and/or one or more remote servers or cloud computing system. Such program memories may store instructions, which, when executed by the one or more processors, may cause a system described herein to implement part or all of one or more methods described herein. Additional or alternative features described herein below may be included in some embodiments.”
The claims supplied by the inventors are:
“1. A method for determining driver performance, the method comprising: accessing a first set of time-series data collected by a set of sensors fixedly attached to a vehicle being operated by a driver; accessing a second set of time-series data representing attributes of an environment in which the vehicle is operating; generating a set of response data indicative of responses of the driver to one or more changes of the attributes of the environment that occur while the driver is operating the vehicle by identifying changes in the first set of time-series data corresponding to respective changes in the second set of time-series data, the set of response data including data indicative of respective elapsed time intervals between changes in the first set of time-series data and respective changes in the second set of time-series data; and generating, based on the set of response data, an indication of a level of performance of the driver to the one or more changes of the attributes of the environment.
“2. The method of claim 1, wherein the set of sensors includes at least one of a camera, another type of optical sensor, a weight sensor, a speed sensor, a weight sensor, a noise sensor, a heat sensor, an accelerometer, another type of force sensor, a location tracking sensor, a proximity sensor, a seat belt sensor, a geo-positioning sensor, a sensor to detect an operation of an instrument included in the vehicle, or a sensor to detect an operation of an on-board computer that controls one or more operational behaviors of the vehicle.
“3. The method of claim 1, wherein the second set of time-series data is collected by at least one of a first sensor fixedly attached to the vehicle, a second sensor of a personal electronic device corresponding to the driver and disposed in the vehicle, or a third sensor disposed separately from the vehicle and in the environment.
“4. The method of claim 1, wherein generating the set of response data comprises aligning, over a time interval, at least a portion of the first set of time-series data and at least a portion of the second set of time-series data.
“5. The method of claim 1, wherein the second set of time-series data is indicative of at least one of a weather condition, a road condition, a road congestion, a traffic condition, a road topography, a speed limit, a jurisdictional sign, or other environmental condition.
“6. The method of claim 1, wherein generating the set of response data comprises generating the set of response data to include at least one of data indicative of respective content of the driver’s respective responses, or data indicative of respective magnitudes of the driver’s respective responses.
“7. The method of claim 1, wherein: generating, based on the set of response data, the indication of the level of performance of the driver to the one or more changes of the attributes of the environment comprises applying a model to at least one of the first set of time-series data, the second set of time-series data, or the set of response data, the model generated based on historical data indicative of multiple drivers’ respective responses to the one or more changes of the attributes of the environment; and generating the indication of the level of performance of the driver comprises receiving, based on the application of the model, the indication of the level of performance of the driver.
“8. The method of claim 7, further comprising: receiving, based on the application of the model, at least one of a suggested driving behavior or an indication of an instruction that is to be provided to the vehicle to automatically modify an operation of a subsystem of the vehicle to modify one or more operational behaviors of the vehicle; and transmitting an indication of the suggested driving behavior or the indication of the instruction that is to be provided to the vehicle.
“9. The method of claim 1, further comprising transmitting, to the vehicle via a wireless communication channel for presentation on a user interface at the vehicle, at least one of the indication of the level of performance of the driver or a suggested driving behavior.
“10. The method of claim 1, further comprising transmitting, to the vehicle via a wireless communication channel, an instruction to automatically modify a behavior of an on-board computer disposed at the vehicle that controls one or more operational behaviors of the vehicle.
“11. The method of claim 10, wherein transmitting the instruction to automatically modify the behavior of the subsystem disposed at the vehicle is based on a user permission.
“12. A system for determining driver performance, the system comprising: one or more processors; and a non-transitory memory storing computer-executable instructions that, when executed, cause the one or more processors to: access a first set of time-series data collected by a set of sensors fixedly attached to a vehicle being operated by a driver; access a second set of time-series data representing attributes of an environment in which the vehicle is operating; generate a set of response data indicative of responses of the driver to one or more changes of the attributes of the environment that occur while the driver is operating the vehicle by identifying changes in the first set of time-series data corresponding to respective changes in the second set of time-series data, the set of response data including data indicative of respective elapsed time intervals between changes in the first set of time-series data and respective changes in the second set of time-series data; and generate, based on the set of response data, an indication of a level of performance of the driver to the one or more changes of the attributes of the environment.
“13. The system of claim 12, wherein the second set of time-series data is collected by at least one of a first sensor fixedly attached to the vehicle, a second sensor of a personal electronic device corresponding to the driver and disposed in the vehicle, or a third sensor disposed separately from the vehicle and in the environment.
“14. The system of claim 12, wherein the instructions, when executed, cause the one or more processors to generate the set of response data by aligning, over a time interval, at least a portion of the first set of time-series data and at least a portion of the second set of time-series data.
“15. The system of claim 12, wherein the instructions, when executed, cause the one or more processors to generate the set of response data to include at least one of data indicative of respective content of the driver’s respective responses, or data indicative of respective magnitudes of the driver’s respective responses.
“16. The system of claim 12, wherein the instructions, when executed, cause the one or more processors to: generate, based on the set of response data, the indication of the level of performance of the driver to the one or more changes of the attributes of the environment by applying a model to at least one of the first set of time-series data, the second set of time-series data, or the set of response data, the model generated based on historical data indicative of multiple drivers’ respective responses to the one or more changes of the attributes of the environment; and generate the indication of the level of performance of the driver comprises receiving, based on the application of the model, the indication of the level of performance of the driver.
“17. The system of claim 16, wherein the instructions, when executed, cause the one or more processors to: receive, based on the application of the model, at least one of a suggested driving behavior or an indication of an instruction that is to be provided to the vehicle to automatically modify an operation of a subsystem of the vehicle to modify one or more operational behaviors of the vehicle; and transmit an indication of the suggested driving behavior or the indication of the instruction that is to be provided to the vehicle to the vehicle.
“18. The system of claim 12, wherein the instructions, when executed, cause the one or more processors to transmit, to the vehicle via a wireless communication channel for presentation on a user interface at the vehicle, at least one of the indication of the level of performance of the driver or a suggested driving behavior.
“19. The system of claim 12, wherein the instructions, when executed, cause the one or more processors to transmit, to the vehicle via a wireless communication channel, an instruction to automatically modify a behavior of an on-board computer disposed at the vehicle that controls one or more operational behaviors of the vehicle.”
There are additional claims. Please visit full patent to read further.
For more information, see this patent: Fields,
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