Abstract:
Methods and systems provide a derivative financing product for a community shared vehicle program by establishing a line of credit for each participating home to pay for the community shared vehicle program. The line of credit derives value from both tangible and intangible values of the community shared vehicle program. The line of credit is established by estimating a total home value per participating home at a start of a financing term based on an estimated amenity value of the community shared vehicle program for the financing term and a number of participating homes, estimating a cost of the community shared vehicle program for the financing term per participating home and determining a periodic payment per participating home based on periodic payment throughout the financing term to be paid from the line of credit to cover the total cost of the community shared vehicle program while providing a profit.
Abstract:
Methods and systems for financing community shared vehicles are based in part on the amenity value of the community shared vehicle program. One method for determining an amenity value of a community shared vehicle program comprises collecting data on a plurality of factors of the community shared vehicle program over a period of time, determining a contributing value of each of the plurality of factors based on the data collected and calculating with a computer the amenity value of the community shared vehicle program per home in a serviced community from the value of each of the plurality of factors.
Abstract:
Methods and apparatus are provided for monitoring a vehicle, and in particular, for monitoring a vehicle to determine a change in a driver's periodic vehicle payment. One method of monitoring a vehicle comprises providing the vehicle to a driver for a term during which the driver pays periodic payments, collecting data representing a vehicle condition during the term, manipulating the data at intervals throughout the term to estimate a vehicle condition value at an end of the term and adjusting at least one periodic payment based on the vehicle condition value.
Abstract:
A method for determining whether a vehicle was washed at a carwash includes recording navigation data for a vehicle. The method further includes identifying whether the vehicle was located at a carwash based on the recorded navigation data, identifying at least one indication that the vehicle was washed while located at the carwash, and determining that the vehicle was washed at the carwash if the vehicle was located at the carwash and at least one indication is identified that the vehicle was washed while located at the carwash.
Abstract:
A system and method of displaying advertising content includes transmitting data associated with a vehicle to a data center. An advertisement is generated based on the transmitted data. The advertisement is transmitted to the vehicle. An evaluation period is determined during which the advertisement is prevented from being displayed. The advertisement is displayed on a display of an in-vehicle infotainment system following the evaluation period.
Abstract:
Estimating a fuel consumption includes receiving a request for estimating the fuel consumption between a first time and a second time; estimating a first fuel consumption value in a first time interval using fuel-sender resistance data; estimating a second fuel consumption value in a second time interval using fuel-injected mass data, where the first time interval and the second time interval are consecutive, non-overlapping intervals; and combining at least the first fuel consumption value and the second fuel consumption value to obtain a fuel consumption value.
Abstract:
A method and apparatus may be used in a vehicle to generate a dynamic driver score. The method may include collecting data. The data may be collected at a predetermined interval. The data may include one or more frames. Each frame may correspond to the predetermined interval and may be divided into segments. Each frame may include a first acceleration data and a second acceleration data. The first acceleration data may be associated with an acceleration of a vehicle at a first segment of the frame, and the second acceleration data may be associated with an acceleration of the vehicle at a second segment of the frame. The frames may be grouped using machine learning methods to determine the driver score. The driver score may be used to modify driving behavior.
Abstract:
Systems, methods, and non-transitory computer readable storage media are described. A system comprises a memory and a processor that executes instructions stored in the memory to receive user data from a computing system operating a multi-user online platform. The user data indicates an exposure of a user of the multi-user online platform to first media content. The processor executes further instructions to receive vehicle data from a plurality of vehicles. The vehicle data indicates use of the plurality of vehicles by a plurality of operators. The processor executes further instructions to determine media content selection parameters by combining the user data and the vehicle, to select second media content using the media content selection parameters, and to transmit a message including the second media content to the computing system to cause an exposure of the user to the second media content.
Abstract:
In a method for identifying the parking status of a vehicle, navigation data for a vehicle is recorded that includes at least some GPS navigation data originating from communication with GPS satellites. The vehicle is identified as being parked in an enclosed structure for a parking event if the navigation data does not include GPS navigation data associated with the parking event.
Abstract:
Systems and methods for predicting component failure in a vehicle and alerting a driver based thereon. In an embodiment, the method includes receiving sensor data from at least one vehicle sensor over a period of time, processing the sensor data using a predictive model to detect an anomaly indicative of an upcoming component failure, determining a severity of the upcoming component failure based on at least one operating characteristic of the vehicle, and providing an alert to the driver of the vehicle regarding the severity of the upcoming component failure.