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: 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: Systems and methods are disclosed for adjusting autonomous vehicle driving behavior. A controller of the autonomous vehicle may utilize an aggression factor to adjust control of the autonomous vehicle. The autonomous vehicle may detect one or more characteristics of proximate vehicles, analyze the one or more characteristics to estimate an aggression level of the proximate vehicles, and adjust the aggression factor based on the estimated aggression level.

Abstract: Systems and methods relate to, inter alia, calculating a collision risk index for an area based upon historical traffic data. The systems and methods may further generate a notification to automatically engage or disengage an autonomous, or semi-autonomous, vehicle control feature in a vehicle based upon the collision risk index for the area. The systems and methods may further transmit the notification to a device of the vehicle to facilitate automatically engaging or disengaging an autonomous, or semi-autonomous, vehicle control feature in the vehicle as the vehicle approaches the area. As a result, vehicle collisions may be reduced, and vehicle safety enhanced.

Abstract: In a computer-implemented method for detecting and acting upon driver behavior while driving with passengers, telematics data collected by electronic subsystems of a vehicle and/or a mobile electronic device is received. The telematics data is analyzed to identify time periods during which a driver drove with passengers, and identify driving behaviors of the driver during those times. Based upon the identified driving behaviors, a driver profile associated with the driver is set or updated. The profile is transmitted to an entity that adjusts a credit rating of the driver, adjusts an insurance rating of the driver, reviews at least the portion of the profile in connection with a job sought by the driver, or offers a permanent or temporary credit in connection with a good or service offered by the entity. As a result, risk-averse drivers may be offered benefits or cost savings.

Abstract: Methods, systems, apparatus, and non-transitory computer readable media are described for using a vehicle as a payment device. Various aspects may include receiving a selection of a stored financial card or financial account at a vehicle head unit. The selected financial card or financial account may be transmitted to a point-of-sale (POS) terminal for making a payment by transmitting a tokenized card number to the POS terminal. The tokenized card number may be transmitted over a very short-range communication link to ensure that the transmission is secure. For example, electronic circuitry may be attached to the exterior of the vehicle, where the electronic circuitry may be within a threshold distance (e.g. one inch, three inches, six inches, one foot, three feet, etc.) of the POS terminal. The tokenized card number may be transmitted from the vehicle head unit to the electronic circuitry and then to the POS terminal.

Abstract: Methods, systems, apparatus, and non-transitory computer readable media are described for using a vehicle as a payment device. Various aspects may include receiving a selection of a stored financial card or financial account at a vehicle head unit. The selected financial card or financial account may be transmitted to a point-of-sale (POS) terminal for making a payment by transmitting a tokenized card number to the POS terminal. The tokenized card number may be transmitted over a very short-range communication link to ensure that the transmission is secure. For example, electronic circuitry may be attached to the exterior of the vehicle, where the electronic circuitry may be within a threshold distance (e.g. one inch, three inches, six inches, one foot, three feet, etc.) of the POS terminal. The tokenized card number may be transmitted from the vehicle head unit to the electronic circuitry and then to the POS terminal.

Abstract: Methods and systems are disclosed for providing vehicular driver alerts. In various aspects a vehicle operating environment may be monitored by one or more sensors associated with a first vehicle operating within the vehicle operating environment. The first vehicle may be determined to be in proximity to a second vehicle based upon sensor data obtained from the one or more sensors. An identifier associated with the second vehicle may be determined based upon the sensor data and the identifier may be used to receive evaluation data associated with the second vehicle. The evaluation data may indicate a quality level associated with operation of the second vehicle. Based upon the evaluation data, it may be determined that the second vehicle is associated with a heightened risk of a vehicle accident. A warning regarding the heighted risk may be generated and presented, by an output device, to a vehicle operator of the first vehicle.

Abstract: Methods and systems are described for generating a vehicle-to-vehicle traffic alert and updating a vehicle-usage profile. Various aspects include detecting, via one or more processors associated with a first vehicle, that an abnormal traffic condition exists in an operating environment of the first vehicle. An electronic message is generated and transmitted wirelessly, via a vehicle-mounted transceiver associated with the first vehicle, to alert a nearby vehicle of the abnormal traffic condition and to allow the nearby vehicle to avoid the abnormal traffic condition. The first vehicle receives telematics data regarding operation of the nearby vehicle after the nearby vehicle received the electronic message, and transmits the telematics data to a remote server for updating a vehicle-usage profile associated with the nearby vehicle.

Abstract: Human operators of autonomous vehicles may exhibit varying levels of operating proficiencies and may respond differently to changing road conditions or requests from the vehicle to assume more or less control over navigation. A system for assessing driver capability of an autonomous vehicle assesses human operator capabilities in a variety of circumstances to assemble a driving capability profile of the human operator. The autonomous vehicle may rely on the driving capability profile as well as an environmental profile and human operator parameters describing the environment surrounding the vehicle and an alertness level of the human operator, respectively. The vehicle may condition requests to increase or decrease driving responsibilities of the human operator depending on the driving capability profile in combination with the environmental profile and/or the human operator parameters.

Abstract: Systems and methods are disclosed for automatically projecting a number of days to pending for a real-estate property by receiving, by a server, real-estate property listing information of real-estate property activities associated with a plurality of real-estate properties and determining, for each of the plurality of real-estate properties, a days to pending amount indicating time between when a respective one of the plurality of real-estate properties was listed and when the respective real-estate property was sold. The systems and methods further train a machine learning technique to establish a relationship between the different types of real-estate property activities and the determined days to pending amounts. The trained machine learning technique is applied to new real-estate property activities associated with a new real-estate property to predict a length of time between a first time the new real-estate property was listed and a second time when the new real-estate property will be sold.

Abstract: Systems and methods are disclosed for determining a valuation gain amount by receiving, by a server data corresponding to previously sold real-estate property listing is retrieved from a market database and calculating valuation data for each of the previously sold real-estate property listings for portions of a specified time period. Seasonality data is further extracted from the valuation data for each of the portions. The system receives adjustments from a client device to the seasonality data. The adjustments may relate to future real-estate property trends. A plurality of valuation gain amounts for a new real estate property listing is determined based on the adjusted seasonality data. The system generates a visualization representing a graphical trend and causes presentation of the visualization on a graphical user interface of a client device.

Abstract: Methods, systems, apparatus, and non-transitory computer readable media are described for using a vehicle as a payment device. Various aspects may include receiving a selection of a stored financial card or financial account at a vehicle head unit. The selected financial card or financial account may be transmitted to a point-of-sale (POS) terminal for making a payment by transmitting a tokenized card number to the POS terminal. The tokenized card number may be transmitted over a very short-range communication link to ensure that the transmission is secure. For example, electronic circuitry may be attached to the exterior of the vehicle, where the electronic circuitry may be within a threshold distance (e.g. one inch, three inches, six inches, one foot, three feet, etc.) of the POS terminal. The tokenized card number may be transmitted from the vehicle head unit to the electronic circuitry and then to the POS terminal.

Abstract: Systems and methods are disclosed for adjusting autonomous vehicle driving behavior. A controller of the autonomous vehicle may utilize an aggression factor to adjust control of the autonomous vehicle. The autonomous vehicle may detect one or more characteristics of proximate vehicles, analyze the one or more characteristics to estimate an aggression level of the proximate vehicles, and adjust the aggression factor based on the estimated aggression level.

Abstract: Systems and methods are described for providing alerts. In various aspects, sensor data is received at one or more sensors associated with a vehicle, where the sensor data defines an electronic vehicle environment that indicates an electronic location of the vehicle. An electronic pedestrian or cyclist location is identified within the electronic vehicle environment, which is determined by a mobile device associated with a pedestrian or cyclist. Where a determination is made that the pedestrian or cyclist meets predetermined alert criteria based upon the electronic vehicle location and the electronic pedestrian or cyclist location, an alert is generated that indicates the presence of the pedestrian or cyclist within the vicinity of the vehicle. The alert is presented on a display screen.

Abstract: Methods and systems are described for generating a vehicle-to-vehicle traffic alert and updating a vehicle-usage profile. Various aspects include detecting, via one or more processors associated with a first vehicle, that an abnormal traffic condition exists in an operating environment of the first vehicle. An electronic message is generated and transmitted wirelessly, via a vehicle-mounted transceiver associated with the first vehicle, to alert a nearby vehicle of the abnormal traffic condition and to allow the nearby vehicle to avoid the abnormal traffic condition. The first vehicle receives telematics data regarding operation of the nearby vehicle after the nearby vehicle received the electronic message, and transmits the telematics data to a remote server for updating a vehicle-usage profile associated with the nearby vehicle.

Abstract: A system and method are provided for improving vehicle awareness and safety by generating and transmitting alerts in response to detecting a hazard in the environment omnidirectional to a vehicle awareness system. Omnidirectional environment data, representing kinematic information pertaining to one or more physically detectable elements omnidirectional to the primary vehicle, is acquired by one or more sensors communicatively coupled to a vehicle. The system analyzes the omnidirectional environment data to detect if one or more hazards in the omnidirectional environment data, representing a change in the kinetic behavior of the one or more physically detectable elements omnidirectional to the vehicle awareness system, has occurred. When the system detects one or more hazards in the omnidirectional environment data, the system generates and transmits an alert to vehicles, vehicle operators, mobile devices, or pedestrians at risk from the hazard.

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: Systems and methods for monitoring the use of a shared vehicle are described. In various aspects, telematics data regarding operation of a shared vehicle is collected from one or more sensors, where the shared vehicle is associated with a shared vehicle operator and a shared vehicle stakeholder. One or more processors determine whether a driving event has occurred based upon the telematics data, where the driving event is indicative of improper usage of the shared vehicle by the shared vehicle operator. The one or more processors generate a notification regarding the driving event. The notification includes a driver rating determined from the telematics data regarding operation of the shared vehicle by the shared vehicle operator. The notification is transmitted, via a network, to the shared vehicle stakeholder for presentation to the shared vehicle stakeholder.

Abstract: Systems and methods are disclosed for educating vehicle drivers. Auto insurance claim data may be analyzed to identify hazardous areas associated with an abnormally high amount or severity of vehicle collisions. A virtual navigation map of roads within the hazardous areas may be built or generated. A common cause of several vehicle collisions at a hazardous area may be identified, and a virtual reconstruction of a scenario involving the common cause and/or a road map of collisions locations of may be created. The virtual reconstruction of the scenario may be displayed on a driver education virtual simulator to enhance driver education and reduce the likelihood of vehicle collisions.