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公开(公告)号:US10668930B1
公开(公告)日:2020-06-02
申请号:US16267047
申请日:2019-02-04
Inventor: Brian N. Harvey , Joseph Robert Brannan , J. Lynn Wilson , Matthew Eric Riley, Sr. , Ryan Gross
Abstract: In a method for applying penalties or incentives to a driver of a rented vehicle, an indication that the driver has agreed to terms for renting the vehicle from the vehicle owner is received, with the terms including the potential application of penalties or incentives to the driver based on driving behavior. Telematics data, indicative of operation of the rented vehicle by the driver during a period of time, is also received. By analyzing the telematics data, one or more driving behaviors of the driver during the time period is/are identified. One or more characteristics of the rented vehicle are also determined. One or more penalties or incentives are caused to be applied to the driver, based on the driving behavior(s) and the one or more characteristics of the rented vehicle.
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公开(公告)号:US20240328794A1
公开(公告)日:2024-10-03
申请号:US18737329
申请日:2024-06-07
Inventor: Craig Benjamin Cope , Kristopher Keith Gaudin , Ryan Gross , Melissa C. Miles , Jessica Lynn Shull , Michael K. Cook
IPC: G01C21/34 , G01C21/16 , G06F16/9537 , G06F40/169 , G06Q10/02 , G06Q40/08 , G06Q50/40
CPC classification number: G01C21/3438 , G01C21/3484 , G06F16/9537 , G06F40/169 , G06Q10/02 , G06Q40/08 , G06Q50/40 , G01C21/165
Abstract: Systems and methods relating to usage of multimodal transportation systems are disclosed. Such systems and methods may identify available local transportation modes for a user, such as vehicle-sharing, ridesharing, rental vehicles, taxicabs, owned vehicles, or public transit options. The available transportation modes may be compared, and recommendations may be presented to the user. Routes may be identified, compared, or recommended to a user, and scheduling or ticket purchasing may be facilitated. With user permission, user transportation data may be collected via a smartphone to identify user transportation patterns and preferences, thereby improving recommendations regarding and assessment of user transportation. Information regarding risks or other relevant factors associated with various transportation modes may be assessed for a user based upon typical characteristics of user transportation choices over a plurality of transportation scenarios, which may be indicated by a user transportation profile.
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公开(公告)号:US20240294173A1
公开(公告)日:2024-09-05
申请号:US18662462
申请日:2024-05-13
Inventor: Brian N. Harvey , Matthew Eric Riley , Joseph Robert Brannan , J. Lynn Wilson , Ryan Gross
IPC: B60W40/09 , G06Q30/0645 , G06Q50/40 , G07C5/00
CPC classification number: B60W40/09 , G06Q30/0645 , G06Q50/40 , G07C5/008
Abstract: In a method for applying penalties or incentives to a driver of a rented vehicle, an indication that the driver has agreed to terms for renting the vehicle from the vehicle owner is received, with the terms including the potential application of penalties or incentives to the driver based on driving behavior. Telematics data, indicative of operation of the rented vehicle by the driver during a period of time, is also received. By analyzing the telematics data, one or more driving behaviors of the driver during the time period is/are identified. One or more characteristics of the rented vehicle are also determined. One or more penalties or incentives are caused to be applied to the driver, based on the driving behavior(s) and the one or more characteristics of the rented vehicle.
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公开(公告)号:US12013246B2
公开(公告)日:2024-06-18
申请号:US17095067
申请日:2020-11-11
Inventor: Craig Cope , Kristopher Keith Gaudin , Ryan Gross , Melissa C. Miles , Jessica Lynn Shull , Michael K. Cook
IPC: G01C21/00 , G01C21/34 , G06F16/9537 , G06F40/169 , G06Q10/02 , G06Q40/08 , G06Q50/40 , G01C21/16
CPC classification number: G01C21/3438 , G01C21/3484 , G06F16/9537 , G06F40/169 , G06Q10/02 , G06Q40/08 , G06Q50/40 , G01C21/165
Abstract: Systems and methods relating to usage of multimodal transportation systems are disclosed. Such systems and methods may identify available local transportation modes for a user, such as vehicle-sharing, ridesharing, rental vehicles, taxicabs, owned vehicles, or public transit options. The available transportation modes may be compared, and recommendations may be presented to the user. Routes may be identified, compared, or recommended to a user, and scheduling or ticket purchasing may be facilitated. With user permission, user transportation data may be collected via a smartphone to identify user transportation patterns and preferences, thereby improving recommendations regarding and assessment of user transportation. Information regarding risks or other relevant factors associated with various transportation modes may be assessed for a user based upon typical characteristics of user transportation choices over a plurality of transportation scenarios, which may be indicated by a user transportation profile.
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35.
公开(公告)号:US20240112213A1
公开(公告)日:2024-04-04
申请号:US18530880
申请日:2023-12-06
Inventor: Joseph Robert Brannan , Ryan Gross
IPC: G06Q30/0208 , G06N20/00 , G06Q10/20 , G06Q50/30 , G08G1/00 , H04L51/046 , H04L51/224
CPC classification number: G06Q30/0208 , G06N20/00 , G06Q10/20 , G06Q50/30 , G08G1/20 , H04L51/046 , H04L51/224
Abstract: A method includes training artificial neural network models; analyzing first data to determine vehicle imperatives; and generating a respective action value by analyzing actions using the of trained artificial neural network models. A non-transitory computer readable medium containing program instructions that when executed, cause a computer system to: train artificial neural network models; analyze first data to determine vehicle imperatives; and generate a respective action value by analyzing actions using the of trained artificial neural network models. A computing system includes: a processor; and a memory having stored thereon computer-executable instructions that, when executed by the one or more processors, cause the computing system to: train artificial neural network models; analyze first data to determine vehicle imperatives; and generate a respective action value by analyzing actions using the of trained artificial neural network models.
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公开(公告)号:US20240087005A1
公开(公告)日:2024-03-14
申请号:US18514876
申请日:2023-11-20
Inventor: Brian N. Harvey , Joseph Robert Brannan , J. Lynn Wilson , Matthew Eric Riley, SR. , Ryan Gross
IPC: G06Q30/0645 , B60W40/04 , B60W40/06 , B60W40/09
CPC classification number: G06Q30/0645 , B60W40/04 , B60W40/06 , B60W40/09
Abstract: In a method for applying penalties or incentives to a driver of a rented vehicle, an indication that the driver has agreed to terms for renting the vehicle from the vehicle owner is received, with the terms including the potential application of penalties or incentives to the driver based on driving behavior. Telematics data, indicative of operation of the rented vehicle by the driver during a period of time, is received. By analyzing the telematics data, one or more driving behaviors of the driver during the time period is/are identified. For each driving behavior, a corresponding state of an environment of the rented vehicle when the driving behavior occurred is determined. One or more penalties or incentives are caused to be applied to the driver, based on the driving behavior(s) and the corresponding state(s) of the environment of the rented vehicle.
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37.
公开(公告)号:US11915306B1
公开(公告)日:2024-02-27
申请号:US16267023
申请日:2019-02-04
Inventor: Brian N. Harvey , Joseph Robert Brannan , J. Lynn Wilson , Matthew Eric Riley, Sr. , Ryan Gross
IPC: G06Q30/0645 , B60W40/04 , B60W40/06 , B60W40/09
CPC classification number: G06Q30/0645 , B60W40/04 , B60W40/06 , B60W40/09
Abstract: Embodiments described herein, inter alia, receive telematics data collected over a period of time, wherein the telematics data is indicative of operation of a vehicle by a potential renter during the period of time; identify, upon analyzing the telematics data, driving behavior(s) of the renter during the period of time; determine, for each driving behavior, a corresponding state of an environment of the vehicle when the driving behavior occurred; determine renter eligibility value(s) for the renter based on the driving behavior(s) and the corresponding state of an environment of the vehicle; compare the renter eligibility value(s) to user preference value(s) of a profile of a vehicle owner, wherein the user preference value(s) define one or more criteria for vehicle renters with whom the vehicle can be shared; and cause an indication of the vehicle associated with the profile to be displayed only if the renter satisfies the criteria.
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公开(公告)号:US11887141B2
公开(公告)日:2024-01-30
申请号:US18080737
申请日:2022-12-13
Inventor: Joseph Robert Brannan , Ryan Gross
IPC: G06Q30/02 , G06Q30/0208 , G06N20/00 , H04L51/046 , G08G1/00 , G06Q50/30 , G06Q10/20 , H04L51/224
CPC classification number: G06Q30/0208 , G06N20/00 , G06Q10/20 , G06Q50/30 , G08G1/20 , H04L51/046 , H04L51/224
Abstract: A method includes training artificial neural network models; analyzing first data to determine vehicle imperatives; and generating a respective action value by analyzing actions using the of trained artificial neural network models. A non-transitory computer readable medium containing program instructions that when executed, cause a computer system to: train artificial neural network models; analyze first data to determine vehicle imperatives; and generate a respective action value by analyzing actions using the of trained artificial neural network models. A computing system includes: a processor; and a memory having stored thereon computer-executable instructions that, when executed by the one or more processors, cause the computing system to: train artificial neural network models; analyze first data to determine vehicle imperatives; and generate a respective action value by analyzing actions using the of trained artificial neural network models.
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公开(公告)号:US20230406140A1
公开(公告)日:2023-12-21
申请号:US17887218
申请日:2022-08-12
Inventor: Ryan Gross , Matthew S. Megyese , Joseph P. Harr , Scott Thomas Christensen , Vicki King , Shawn Harbaugh
CPC classification number: B60L53/65 , B60L58/12 , B60L53/68 , B60L53/66 , G06Q30/0645
Abstract: A computer-implemented method in a mobile computing device for tracking health and usage of electric vehicle (EV) batteries using Quick Response (QR) codes (or NFC or RFID tags) is provided. The method may include (1) capturing, by a camera associated with a mobile computing device, an image of a tag affixed to an EV; (2) analyzing the image of the tag affixed to the EV; (3) identifying, by the one or more processors of the mobile computing device, the EV based upon analyzing the image of the tag affixed to the EV; (4) determining vehicle battery data associated with a rechargeable battery that powers the identified EV; (5) determining based upon the vehicle battery data associated with the rechargeable battery that powers the identified EV, a battery status indication corresponding to the identified EV; and/or (6) providing, via a user interface, the battery status indication corresponding to the identified EV.
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公开(公告)号:US20220274605A1
公开(公告)日:2022-09-01
申请号:US17745036
申请日:2022-05-16
Inventor: Brian N. Harvey , Matthew Eric Riley, SR. , Joseph Robert Brannan , J. Lynn Wilson , Ryan Gross
Abstract: In a method for applying penalties or incentives to a driver of a rented vehicle, an indication that the driver has agreed to terms for renting the vehicle from the vehicle owner is received, with the terms including the potential application of penalties or incentives to the driver based on driving behavior. Telematics data, indicative of operation of the rented vehicle by the driver during a period of time, is also received. By analyzing the telematics data, one or more driving behaviors of the driver during the time period is/are identified. One or more characteristics of the rented vehicle are also determined. One or more penalties or incentives are caused to be applied to the driver, based on the driving behavior(s) and the one or more characteristics of the rented vehicle.
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