A vehicle control device includes a detecting unit that detects a towing state of a subject vehicle, a recognizing unit that recognizes surrounding situations of the subject vehicle, a control unit that performs automatic control in which at least one of acceleration-and-deceleration and steering of the subject vehicle is automatically controlled on the basis of the surrounding situations of the subject vehicle recognized by the recognizing unit, and a changing unit that changes, if the detecting unit has detected that the subject vehicle is in a state of towing an object, details of control performed by the control unit in such a manner that it is less likely to perform the automatic control than in the case where the detecting unit has not detected that the subject vehicle is in a state of towing an object

Vehicle control system, vehicle control method, and vehicle control program

The present disclosure relates to making payments with a mobile device. In one example process, the mobile device receives and stores information for one or more payment accounts on the mobile device. The mobile device is used to make payments using the payment accounts. In some examples, authorization to proceed with a payment is performed before each purchase made by the user. The authorization process can include receiving a verification of the user, such as a fingerprint scan or passcode. In some examples, a payment account is selected from among available payment accounts. In some examples, an indication is displayed of a digital item associated with a purchased item. In some examples, a payment transaction is initiated with participants of an ongoing communication. In some examples, an application of a retailer is invoked based on the availability of the application. In some examples, a purchase recommendation is provided.

User interface for payments

A method is disclosed for mitigating the risks associated with driving by assigning risk values to road segments and using those risk values to select less risky travel routes. Various approaches to helping users mitigate risk are presented. A computing device is configured to generate a database of risk values. That device may receive accident information, geographic information, vehicle information, and other information from one or more data sources and calculate a risk value for the associated road segment. Subsequently, the computing device may provide the associated risk value to other devices. Furthermore, a personal navigation device may receive travel route information and use that information to retrieve risk values for the road segments in the travel route. An insurance company may use this information to determine whether to adjust a quote or premium of an insurance policy. This and other aspects relating to using geographically encoded information to promote and reward risk mitigation are disclosed.

Route Risk Mitigation

A method and system is provided for a semi-autonomous vehicle to have optional routes that vary in an amount of autonomous driving offered. The system performs processes including aggregating data from various sources to thereby position and orient the vehicle, assigning a autonomous driving value to different route segments, determining an optimal route by minimizing a distance between a start position and a destination position and maximizing the percent autonomous value assigned, and displaying the optimal route.

Automatic driving route planning application

A communication module may receive communications from a vehicle. A collision detection module may determine that a collision has occurred at a vehicle based on one or more of the communications received from a vehicle. A participant identification module may identify one or more participants involved in the collision based on one or more communications received from the vehicle. A fault determination module may identify one of the participants as the at-fault participant based on a comparison of a fault determination ruleset to vehicle telematics data included in one or more of the communications received from the vehicle. A claims processing module may determine whether to file an insurance claim associated with one of the participants based on the estimated repair cost.

Automated accident detection, fault attribution, and claims processing

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.

Dynamic auto insurance policy quote creation based on tracked user data

Methods and systems are provided for monitoring use of a vehicle having one or more autonomous (and/or semi-autonomous) operation features to determine and respond to incidents, such as collisions, thefts, or breakdowns. According to certain aspects, operating data from sensors within or near the vehicle may be used to determine when an incident has occurred and determine an appropriate response. The responses may include contacting a third party to provide assistance, such as local emergency services. In some embodiments, occurrence of the incident may be verified by automated communication with the vehicle operator.

Accident response using autonomous vehicle monitoring

Methods and systems for determining fault for an accident involving a vehicle having one or more autonomous and/or semi-autonomous operation features are provided. According to certain aspects, performance data indicative of the performance of the features may be used to determine fault for a vehicle accident, such as a collision, by allocating fault for the accident between a vehicle operator, the autonomous operation features, or a third party. The allocation of fault may be used to determine an adjustment to an insurance policy and/or adjust coverage levels for an insurance policy. The allocation of fault may further be used to adjust risk levels or profiles associated with the autonomous or semi-autonomous operation features, which may be applied to other vehicles having the same or similar features.

Accident fault determination for autonomous vehicles

Methods and systems for monitoring use and determining risks associated with operation of a vehicle having one or more autonomous operation features are provided. According to certain aspects, operating data may be recorded during operation of the vehicle. This may include information regarding the vehicle, the vehicle environment, use of the autonomous operation features, and/or control decisions made by the features. The control decisions may include actions the feature would have taken to control the vehicle, but which were not taken because a vehicle operator was controlling the relevant aspect of vehicle operation at the time. The operating data may be recorded in a log, which may then be used to determine risk levels associated with vehicle operation based upon risk levels associated with the autonomous operation features. The risk levels may further be used to adjust an insurance policy associated with the vehicle.

Autonomous vehicle operation feature monitoring and evaluation of effectiveness

Methods and systems for improving vehicular safety by utilizing a driving tip model are provided. According to embodiments, an analysis server can analyze telematics data associated with operation of one or more vehicles to identify driving tips that may be aimed to mitigate certain risks or warn of various conditions. The analysis server can provide the driving tips to the vehicles and, in response, receive updated telematics data from the vehicles that reflects operation data for the vehicles subsequent to receiving the driving tips. The analysis server can analyze the updated telematics data to associate certain driving tips with certain telematics data and identify effective driving tips and delivery techniques. The analysis server can update the driving tip model accordingly.

Systems and methods for updating a driving tip model using telematics data

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