Incentivized Group Shipping System
    2.
    发明申请

    公开(公告)号:US20170344940A1

    公开(公告)日:2017-11-30

    申请号:US15166953

    申请日:2016-05-27

    Abstract: Service request are transmitted to multiple vehicles. Each service request is associated with a time and a location. Driving histories of at least some vehicles are known. A first location associated with a first service request is compared with a known location in a vehicle driving history, the known location comprising a first cell identifier of a first grid where a size of the cells of the first grid indicating a maximum acceptable deviation of the vehicle from a travel segment in the first driving history that includes the first cell identifier. When the first location matches the known location and the associated time overlaps a start time or an end time of the travel segment that includes the first cell identifier, the first service request is identified to the vehicle. The vehicle sends an indicator that it will perform at least a portion of a service, and an instruction is transmitted to the vehicle that causes the vehicle to perform the service.

    Tire Wear Estimation Using a Hybrid Machine Learning System and Method

    公开(公告)号:US20200001662A1

    公开(公告)日:2020-01-02

    申请号:US16022032

    申请日:2018-06-28

    Abstract: A tire tread wear system may include one or more vehicle sensors and a processor. The processor may include a control module, a geometrical model, a machine learning model, and a switch. The geometrical model may be configured to collect data from the vehicle sensors to determine a dynamic rolling radius of a tire. The geometrical model may be configured to output a tread wear estimation based on the dynamic rolling radius of the tire. The machine learning model may be configured to collect data from the vehicle sensors. The machine learning model may be configured to output a tread wear estimation based on a correlation of the tread wear estimation output from the geometrical model and one or more data instances with a tire tread state. The switch may be configured to activate the geometrical model, the machine learning model, or a combination thereof.

    Using Driving History to Match Drivers With Services

    公开(公告)号:US20170344941A1

    公开(公告)日:2017-11-30

    申请号:US15167338

    申请日:2016-05-27

    CPC classification number: G06Q10/0834 H04W4/029

    Abstract: For each vehicle of multiple vehicles, a first location for a service is associated with a first cell identifier of a grid, which is in turn compared to travel segments based on historical trips of the vehicle. At least some of the grid cells are associated with the historical trips, and the cell size indicates a maximum acceptable deviation from a travel segment. Travel segments include a start cell identifier, a start time, an end cell identifier, and an end time. When the first cell identifier matches the start or end cell identifier, whether the first time associated with the first location overlaps the start or end time is determined. When such an overlap exists, the vehicle is identified in a list of candidate vehicles for the service. An instruction to a candidate vehicle in the list causes the candidate vehicle to perform at least a portion of the service.

    Tire wear estimation using a hybrid machine learning system and method

    公开(公告)号:US10960712B2

    公开(公告)日:2021-03-30

    申请号:US16022032

    申请日:2018-06-28

    Abstract: A tire tread wear system may include one or more vehicle sensors and a processor. The processor may include a control module, a geometrical model, a machine learning model, and a switch. The geometrical model may be configured to collect data from the vehicle sensors to determine a dynamic rolling radius of a tire. The geometrical model may be configured to output a tread wear estimation based on the dynamic rolling radius of the tire. The machine learning model may be configured to collect data from the vehicle sensors. The machine learning model may be configured to output a tread wear estimation based on a correlation of the tread wear estimation output from the geometrical model and one or more data instances with a tire tread state. The switch may be configured to activate the geometrical model, the machine learning model, or a combination thereof.

    Incentivized group shipping system

    公开(公告)号:US10453024B2

    公开(公告)日:2019-10-22

    申请号:US15166953

    申请日:2016-05-27

    Abstract: Service requests are transmitted to multiple vehicles, each request associated with a time and a location. Driving histories of vehicles are known. A first location associated with a service request is compared with a known location in a vehicle driving history. The known location comprises a first cell identifier of a first grid where a size of the cells indicates a maximum acceptable deviation of the vehicle from a travel segment in the driving history that includes the first cell identifier. When the first location matches the known location and the associated time overlaps a start or end time of the travel segment that includes the first cell identifier, the service request is identified to the vehicle. The vehicle sends an indicator that it will perform at least a portion of a service, and an instruction is transmitted to the vehicle that causes the vehicle to perform the service.

    Vehicle sensing and access control for on-demand services

    公开(公告)号:US10237690B2

    公开(公告)日:2019-03-19

    申请号:US15636010

    申请日:2017-06-28

    Abstract: Methods, apparatuses, systems, and non-transitory computer readable storage media for providing on-demand services to vehicles are described. The disclosed technology determines information associated with the vehicle. The information includes a location of the vehicle. A request is generated for the on-demand service using the information and identification of the vehicle is confirmed using a wireless signal of the vehicle. Access is provided to the vehicle to enable performance of the on-demand service and the vehicle is secured after completion of the on-demand service.

    Vehicle Sensing and Access Control for On-Demand Services

    公开(公告)号:US20190007794A1

    公开(公告)日:2019-01-03

    申请号:US15636010

    申请日:2017-06-28

    Abstract: Methods, apparatuses, systems, and non-transitory computer readable storage media for providing on-demand services to vehicles are described. The disclosed technology determines information associated with the vehicle. The information includes a location of the vehicle. A request is generated for the on-demand service using the information and identification of the vehicle is confirmed using a wireless signal of the vehicle. Access is provided to the vehicle to enable performance of the on-demand service and the vehicle is secured after completion of the on-demand service.

    VEHICLE DATA EXCHANGE
    10.
    发明申请

    公开(公告)号:US20170345228A1

    公开(公告)日:2017-11-30

    申请号:US15166738

    申请日:2016-05-27

    Abstract: Vehicle data exchange may include receiving, from a subscriber device associated with a subscribing entity, a vehicle data exchange request including a vehicle sensor type identifier and vehicle data exchange request target information, wherein the vehicle data exchange request target information includes an indication of a defined geospatial region. Vehicle data exchange may include identifying, based on the vehicle data exchange request, a publishing entity, and transmitting a vehicle data exchange request execution notification to a publisher device associated with the publishing entity. Vehicle data exchange may include receiving, from the publisher device, vehicle sensor data generated by a sensor of a vehicle associated with the publishing entity within the defined geospatial region, generating a vehicle data exchange response based on the vehicle sensor data, and transmitting the vehicle data exchange response to the subscriber device.

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