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.

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 a vehicle, generates a request for a fuel delivery on-demand service using the information, confirms identification of the vehicle using a wireless signal of the vehicle, provides access to the vehicle to enable performance of the fuel delivery on-demand service and secures the vehicle after completion of the fuel delivery on-demand service.

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.

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.

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 a vehicle, generates a request for a fuel delivery on-demand service using the information, confirms identification of the vehicle using a wireless signal of the vehicle, provides access to the vehicle to enable performance of the fuel delivery on-demand service and secures the vehicle after completion of the fuel delivery on-demand service.

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.

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.

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.

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.

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.