Abstract: An alert may be triggered to notify a pedestrian of the current operational mode of a nearby vehicle. For instance, a vehicle may operate in an autonomous or manual mode, and may occasionally switch from one mode to the other. A pedestrian who may be unaware of the current operational mode of a nearby vehicle may notice the alert and proceed accordingly. In one embodiment, an indication of the current operational mode of the nearby vehicle may be transmitted to an electronic device associated with the pedestrian. The device may generate a notification to the pedestrian based on the current operational mode. In an additional or alternative embodiment, the alert may be transmitted by the vehicle externally to be visible or audible to the pedestrian. In some embodiments, the alert may be triggered only for particular operational modes (e.g., only for autonomous or only for manual).

Abstract: Methods and systems for analyzing vehicle operation data associated with a temporary or periodic usage of a vehicle by a driver. In aspects, the vehicle operation data may be analyzed to assess a performance of the driver during operation of the vehicle. Based on the performance of the driver, the driver may qualify for a reward.

Abstract: A computer-implemented method of assessing driver capability for operating an autonomous vehicle includes identifying a human operator of the autonomous vehicle, the human operator being associated with a driving capability profile. The method further includes signaling to the human operator with the signal, the signal requesting a response from the human operator. The method also includes updating, based on the response from the human operator to the signal, the driving capability profile to indicate a level of skill of the human operator at responding to the signal.

Abstract: A computer-implemented method for determining a quality of driving of a vehicle is presented. Information indicating at least one driving condition may be received from at least one driving condition information indicating device. The at least one driving condition may be different from each of a plurality of driving metrics, and may affect a relationship between the quality of driving and at least one of the plurality of driving metrics. Information indicating the at least one driving metric may be received. At least one indication of the quality of driving of the vehicle may be determined based on the information indicating the at least one driving metric and the received information from the at least one driving condition information indicating device. The at least one indication of the quality of driving may be provided to at least one of the driver, a driving instructor, or an insurance provider.

Abstract: Systems, methods, and techniques for determining optimal safe driving behaviors and optimal safety thresholds of the various parameters for particular routes are disclosed. Historical driver data for a plurality of drivers operating vehicles over various routes during different contextual situations and/or different combinations of conditions along the routes is analyzed to determine respective, relative weightings/contributions of various parameters towards driving safety. Data indicative of a particular driver's behavior along a particular route during a particular set of conditions or contexts is obtained and compared to the analysis results to thereby determine or assess the driver's safety performance. The driver's safety performance may be evaluated in real-time, e.g.

Abstract: Vehicles may have the capability to navigate according to various levels of autonomous capabilities, the vehicle having a different set of autonomous competencies at each level. In certain situations, the vehicle may shift from one level of autonomous capability to another. The shift may require more or less driving responsibility from a human operator. Sensors inside the vehicle collect human operator parameters to determine an alertness level of the human operator. An alertness level is determined based on the human operator parameters and other data including historical data or human operator-specific data. Notifications are presented to the user based on the determined alertness level that are more or less intrusive based on the alertness level of the human operator and on the urgency of an impending change to autonomous capabilities. Notifications may be tailored to specific human operators based on human operator preference and historical performance.

Abstract: Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, with the customer's permission, a vehicle operator in an autonomous or semi-autonomous vehicle may be determined by a sensor disposed within the autonomous or semi-autonomous vehicle or a mobile computing device associated with the vehicle operator. A determination may be made as to whether the vehicle operator is authorized to operate the vehicle based upon the determined identity of the vehicle operator; and if the vehicle operator is not authorized, an alert may be generated and/or the vehicle may be caused to not operate. Alternatively, autonomous operation features may be automatically engaged to automatically drive the autonomous or semi-autonomous vehicle to a safe location when the operator is not authorized. Insurance discounts may be provided based upon the anti-theft functionality.

Abstract: Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having autonomous or semi-autonomous operation features are provided. In certain aspects, with the customer's permission, a computer-implemented method for updating an autonomous operation feature may be provided. An indication of a software update associated with the autonomous operation feature may be received, and several autonomous or semi-autonomous vehicles having the feature may be identified. The update may be installed within the several vehicles, such as via wireless communication. Also, a change in a risk level associated with the update to the autonomous operation feature may be determined, and an insurance discount may be determined or adjusted.

Abstract: Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having autonomous or semi-autonomous operation features are provided. According to certain aspects, vehicle operation safety may be enhanced. An environmental or weather condition (e.g., hail, storm, wind) may be identified that presents a hazard to an autonomous or semi-autonomous vehicle. With the customer's permission, when it is determined that the vehicle is parked in an unprotected location, a protected or covered location to park the vehicle may be identified, a route to that location may be determined, and the vehicle may be directed to travel automatically to the protected location under the operation of autonomous operation features. Insurance discounts or cost savings may be provided to risk averse insurance customers based upon the self-parking functionality that will reduce or mitigate damage to insured vehicles caused by adverse conditions, falling trees or power lines, hail, etc.

Abstract: Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, the operating status of the features, the identity of a vehicle operator, risk levels for operation of the vehicle by the vehicle operator, or damage to the vehicle may be determined based upon sensor or other data. According to further aspects, decisions regarding transferring control between the features and the vehicle operator may be made based upon sensor data and information regarding the vehicle operator. Additional aspects may recommend or install updates to the autonomous operation features based upon determined risk levels. Some aspects may include monitoring transportation infrastructure and communicating information about the infrastructure to vehicles.

Abstract: Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having autonomous or semi-autonomous operation features are provided. According to certain aspects, a computer-implemented method for generating or updating usage-based insurance policies for autonomous or semi-autonomous vehicles may be provided. A request to generate an insurance quote may be received via wireless communication, and with the customer's permission, risk levels associated with intended usage by the customer of an autonomous or semi-autonomous vehicle may be determined. An insurance policy may be adjusted based upon the risk levels and the intended vehicle usage. The insurance policy may then be presented on the customer's mobile device for review and approval. In some aspects, the vehicle may be rented, and the intended vehicle usage is measured in distance or duration of vehicle operation. Insurance discounts may be provided to risk averse vehicle owners based upon low risk levels.

Abstract: A computer-implemented method for determining a quality of driving of a vehicle is presented. Information indicating at least one driving condition may be received from at least one driving condition information indicating device. The at least one driving condition may be different from each of a plurality of driving metrics, and may affect a relationship between the quality of driving and at least one of the plurality of driving metrics. Information indicating the at least one driving metric may be received. At least one indication of the quality of driving of the vehicle may be determined based on the information indicating the at least one driving metric and the received information from the at least one driving condition information indicating device. The at least one indication of the quality of driving may be provided to at least one of the driver, a driving instructor, or an insurance provider.

Abstract: Systems and methods are provided for dynamically protecting transportable articles in vehicles. A system for dynamically protecting a transportable article in a vehicle may include one or more processors and non-volatile memory storing instructions. The instructions, when executed by the one or more processors, cause the system to determine at least one of a characteristic or a trait of the transportable article; detect, based on sensed data, an emergency condition; select one or more article protection components based on (i) the at least one of the characteristic or the trait of the transportable article, and (ii) the detected emergency condition; and in response to detecting the emergency condition, deploy the selected one or more article protection components to protect the transportable article.

Abstract: Vehicles may have the capability to navigate according to various levels of autonomous capabilities, the vehicle having a different set of autonomous competencies at each level. In certain situations, the vehicle may shift from one level of autonomous capability to another. The shift may require more or less driving responsibility from a human operator. Sensors inside the vehicle collect human operator parameters to determine an alertness level of the human operator. An alertness level is determined based on the human operator parameters and other data including historical data or human operator-specific data. Notifications are presented to the user based on the determined alertness level that are more or less intrusive based on the alertness level of the human operator and on the urgency of an impending change to autonomous capabilities. Notifications may be tailored to specific human operators based on human operator preference and historical performance.

Abstract: In a computer-implemented method of assessing driving performance using route scoring, driving data indicative of operation of a vehicle while the vehicle was driven on a driving route may be received. Road infrastructure data indicative of one or more features of the driving route may also be received. A route score for the driving route may be calculated using the road infrastructure data, and a driving performance score for a driver of the vehicle may be calculated using the driving data and the route score for the driving route. Data may be sent to a client device via a network to cause the client device to display the driving performance score and/or a ranking based on the driving performance score, and/or the driving performance score may be used to determine a risk rating for the driver of the vehicle.

Abstract: Systems and methods for providing real-time feedback to a driver of a vehicle based on real-time datasets is disclosed. The systems and methods include obtaining one or more sets of real-time data associated with a vehicle. Performing one or more operations on the set of real-time data, wherein the one or more operations are based on the set of real-time data. Generating, a feedback alert based on results of the one or more operations and one or more detected real-time behaviors of the vehicle. Providing the feedback alert for presentation at a user interface on-board the vehicle. The real-time data may include contextual data, environmental data, operating data, data for a plurality of drivers, or combinations thereof.

Abstract: In a computer-implemented method for detecting and acting upon driver behavior while driving with passengers, telematics data is collected by one or more electronic subsystems of a vehicle and/or mobile electronic device of a driver or passenger. The collected data is transmitted to a computer system, and analyzed to identify respective time periods during which the driver of the vehicle drove with and without passengers, and one or more driving behaviors of the driver during those time periods. The method also includes determining, based upon the driving behavior(s) of the driver during the time periods with and without passengers, how the driver modifies his or her driving when driving with or without passengers, and conveying to an entity at least a portion of a driver profile associated with the driver that has been adjusted based upon how the driver modifies his or her driving.

Abstract: Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, the operating status of the features, the identity of a vehicle operator, risk levels for operation of the vehicle by the vehicle operator, or damage to the vehicle may be determined based upon sensor or other data. According to further aspects, decisions regarding transferring control between the features and the vehicle operator may be made based upon sensor data and information regarding the vehicle operator. Additional aspects may recommend or install updates to the autonomous operation features based upon determined risk levels. Some aspects may include monitoring transportation infrastructure and communicating information about the infrastructure to vehicles.

Abstract: Systems and methods are provided for improving safety of one or more vehicle occupants. An example method for improving safety of one or more vehicle occupants includes accessing interior vehicle configuration data that is generated by, or derived from data generated by an interior data collection component, the data representing an interior space of a vehicle; determining, by processing the interior vehicle configuration data, location and orientation of one or more vehicle occupants; selecting a plurality of vehicle safety components to be active based on the location and orientation of the one or more vehicle occupants, and setting the plurality of vehicle safety components to an active state in which the plurality of vehicle safety components are deployed, when an emergency condition is detected.

Abstract: Vehicles may have the capability to navigate according to various levels of autonomous capabilities, the vehicle having a different set of autonomous competencies at each level. In certain situations, the vehicle may shift from one level of autonomous capability to another. The shift may require more or less driving responsibility from a human operator. Sensors inside the vehicle collect human operator parameters to determine an alertness level of the human operator. An alertness level is determined based on the human operator parameters and other data including historical data or human operator-specific data. Notifications are presented to the user based on the determined alertness level that are more or less intrusive based on the alertness level of the human operator and on the urgency of an impending change to autonomous capabilities. Notifications may be tailored to specific human operators based on human operator preference and historical performance.