Abstract:
Systems and methods relate to, inter alia, calculating a number of expected collisions in an area over a time period. The systems and methods may further determine a number of observed collisions in the area over the time period. The systems and methods may further calculate a risk index for the area based upon a comparison between the number of expected collisions and the number of observed collisions. The systems and methods may further select a travel route for a vehicle based upon the risk index.
Abstract:
A method includes receiving vehicle sensor data from a second vehicle via one or more wireless signals. The vehicle sensor data is collected by a sensor that is located on or in the second vehicle and configured to sense an environment external to the second vehicle. The vehicle sensor data is received at an electronic processing system, and stored in a memory. A set of one or more characteristics of the environment external to the first vehicle is determined by processing the stored vehicle sensor data, and a risk indicator is determined based on the set of one or more characteristics, a risk indicator. An insurance rating for an insurance policy associated with the first vehicle is determined based on the risk indicator.
Abstract:
A method, implemented in an electronic processing system that includes a memory and one or more processors, includes receiving, at the electronic processing system, sensor data representing information collected by a sensor (i) located on or in a first vehicle and (ii) configured to sense an environment external to the first vehicle, storing the received sensor data in the memory, and determining, via the one or more processors and based on the stored sensor data, an identifying characteristic of a second vehicle different than the first vehicle.
Abstract:
A method includes receiving external data including a plurality of data points indicative of a plurality of respective states of an environment external to a vehicle. The external data is data that was received by the vehicle from a handheld mobile communication device of a pedestrian external to the vehicle via a wireless link, and is indicative of objects sensed by the handheld mobile communication device. The method also includes storing the external data in a memory, generating an animated re-creation of an event (e.g., accident) involving at least one vehicle using the stored plurality of data points, and causing the animated re-creation of the event to be displayed.
Abstract:
A method includes receiving first sensor data representing information collected, during a first time period, by a sensor located on or in a vehicle configured to sense an environment external to the vehicle, storing the data in a memory, processing the data to determine a first set of one or more characteristics of the external environment, and determining, based on the first set of characteristics, a first risk indicator representing a risk of loss during the first time period. The method also includes receiving second sensor data representing information collected, during a second time period, by the sensor, storing the data in the memory, and processing the data to determine a second set of one or more characteristics of the external environment. The method also includes determining, based on the second set of characteristics, a second risk indicator representing a risk of loss during the second time period.
Abstract:
A system and method may create auto insurance quotes using data collected from a device that tracks vehicle usage data and other data. Usage data may be tracked by an On Board Diagnostic (OBD) device or other portable computing device such as a smart phone. Based on a received coverage type, the usage data and other data may be analyzed to determine auto insurance quotes. A potential customer may then purchase an auto insurance policy. Once the purchased policy has been determined to have expired, new usage data will be collected, and new quotes will be created for the customer.
Abstract:
Methods and systems for offering and providing trip-based vehicle insurance are provided. Information is received regarding a vehicle operator and a vehicle, and trip-based insurance policies including quantities of vehicle use units are offered to the customer. Based on selected coverage types, the insurance provider may generate an insurance quote for a policy having an amount of the vehicle use units and may facilitate a purchase transaction with the customer for the insurance policy. Once a policy is selected and purchased, the system and method monitor vehicle use to determine each use of a vehicle use unit. Each vehicle use unit generally corresponds to one vehicle trip, but additional vehicle trip limitations may be added that may result in additional charges when exceeded during the course of a vehicle trip.
Abstract:
The applications, methods and systems of the present disclosure provide selective and automatic data collection for insurance risk determination purposes. In particular, an insurance application may be stored in a vehicle computing system memory and may be executed by a vehicle computing system processor to collect and store vehicle operation related data. An in-vehicle computing device may transmit the collected data to a remote server via a wireless communication network. Alternatively, the in-vehicle computing device may transmit the collected data to a mobile telephone via a wireless communication network.
Abstract:
A method, implemented in an electronic processing system that includes a memory and one or more processors, includes receiving, at the electronic processing system, sensor data representing information collected by a sensor (i) located on or in a first vehicle and (ii) configured to sense an environment external to the first vehicle, storing the received sensor data in the memory, and determining, via the one or more processors and based on the stored sensor data, an identifying characteristic of a second vehicle different than the first vehicle.
Abstract:
A computer system or computer-implemented method may provide incentives to an insured customer for receiving sensor data indicating risk-reducing and risk-increasing behavior during the policy term. In-vehicle sensors or other devices may gather information about the vehicle and its use during the policy term and send the information to a back-end system for analysis. Based on this analysis, the back-end system may determine that the received information is indicative of risk-reducing or increasing behavior. Upon confirmation that the information indicates risk-reducing or increasing behavior, the back-end system may perform one or more actions defined by a set of rules to establish an incentive or disincentive for the customer corresponding to the behavior. For example, the system may modify the customer's insurance policy data, send an e-mail, letter, gift card, coupon, points, or other incentive or disincentive for the customer based on the analysis.