Abstract: Transportation-based service share systems and methods are disclosed herein. An example method can include receiving a request from a service provider to reserve a ridehail vehicle for a ridehail having a time frame, the request specifying a service provided by the service provider; determining the ridehail vehicle for the service provider based on the service; and dispatching the ridehail vehicle, the service provider rendering the service during the ridehail.

Abstract: A system comprises a computer having a processor and a memory, the memory storing instructions executable by the processor to access sensor data of a first sensor of a vehicle while an adaptive cruise control feature of the vehicle is active, detect, based on the sensor data of the first sensor, a stationary object located along a path of travel of the vehicle, wherein the stationary object is located outside of a range of a second sensor of the vehicle, determine a presence of an intersection within a threshold distance of the stationary object that is along the path of travel of the vehicle, and responsive to a determination that the stationary object is a stopped vehicle of the intersection, adjust, by the adaptive cruise control feature, the speed of the vehicle.

Abstract: A system receives a request for course identification and determines specific vehicle off-road capabilities for a vehicle from which the request was received. The system determines, for presentation, one or more courses within a geographic area having terrain over which the vehicle can travel based on the determined capabilities and presents the one or more courses as selectable course options and receive selection of a course from the course options. Also, the system determines, for the selected course, geographic change regions where an optional vehicle feature should be engaged based on crowd-sourced data gathered for the selected course indicating that the vehicle feature is used by more than a threshold number of vehicles while traversing a travel region of the course following the change region and sends the vehicle the geographic change regions and the corresponding vehicle features.

Abstract: The disclosure generally pertains to systems and methods to predict a vehicle preference of a customer of a rental vehicle agency. An example method to do so involves a computer executing a prediction procedure to obtain and evaluate information associated with a customer. The information can include vehicle ownership history and/or monitoring data obtained from vehicles used by the customer (a personal vehicle, a taxi, and/or a ride share service vehicle, for example). The information may be evaluated by the computer to determine a personal profile of the customer. The personal profile can include items such as physical attributes of the customer, family size, driving characteristics, and/or past vehicle ownership. The personal profile of the customer may then be used by the computer to predict a type of vehicle preferred by the customer and to select, from a vehicle fleet, a vehicle that matches the preferred type of vehicle.

Abstract: A vehicle includes one or more sensors and engages at least one of the one or more sensors to evaluate at least one of a count or location of vehicle occupants prior to an incident. The vehicle determines that an incident has occurred and that at least one of an evaluated count or location of at least one vehicle occupant has changed following the incident. Also, the vehicle engages at least one of the one or more sensors to detect a presence of a prior occupant outside the vehicle following the incident, responsive to determining that the at least one of the evaluated count or location of the at least one vehicle occupant changed and, responsive to detecting the presence of the prior occupant outside the vehicle following the incident, reports the presence to a 3rd party response entity.

Abstract: Systems and methods for mixed use rideshare services are disclosed herein. An example method can include determining a rideshare route for a vehicle, the rideshare route identifying a rider and a package, receiving the rider, receiving the package, the package being received as a first mile portion of package return, and delivering the rider to a first drop off location and the package to a second drop off location.

Abstract: Transportation-based service share systems and methods are disclosed herein. An example method can include receiving a request from a service provider to reserve a ridehail vehicle for a ridehail having a time frame, the request specifying a service provided by the service provider; determining the ridehail vehicle for the service provider based on the service; and dispatching the ridehail vehicle, the service provider rendering the service during the ridehail.

Abstract: A vehicle determines that a stop is upcoming along a route and determines that the upcoming stop will place the vehicle within range of a wireless transceiver. The vehicle approximates a predicted transfer rate of the wireless transceiver and determines if data onboard the first vehicle is to be uploaded, based on at least a size of the data, a priority assigned to the data and the predicted transfer rate. Additionally, the vehicle determines a predicted duration of communication between the vehicle and the transceiver based on the route and the upcoming stop, allowing the vehicle to determine a first predicted amount of data able to be transferred. The vehicle designates first data for upload, based on the first data having a size that is below the first predicted amount and begins transferring the designated data responsive to establishing communication with the wireless transceiver.

Abstract: While operating a vehicle, a candidate marker is detected via first image data from a first image sensor. Upon failing to identify the candidate marker, vehicle exterior lighting is actuated to illuminate the candidate marker. Then the candidate marker is determined to be one of a real marker or a projected marker based on determining whether the candidate marker is detected via second image data from the first image sensor. Upon determining the candidate marker is the real marker, the vehicle is operated based on the real marker.

Abstract: A vehicle determines that a stop is upcoming along a route and determines that the upcoming stop will place the vehicle within range of a wireless transceiver. The vehicle approximates a predicted transfer rate of the wireless transceiver and determines if data onboard the first vehicle is to be uploaded, based on at least a size of the data, a priority assigned to the data and the predicted transfer rate. Additionally, the vehicle determines a predicted duration of communication between the vehicle and the transceiver based on the route and the upcoming stop, allowing the vehicle to determine a first predicted amount of data able to be transferred. The vehicle designates first data for upload, based on the first data having a size that is below the first predicted amount and begins transferring the designated data responsive to establishing communication with the wireless transceiver.

Abstract: As a computing device travels on a trip from a starting location to a destination location, geographic coordinates are captured and stored. The geographic coordinates are tested against an obscuring condition to determine a portion of the geographic coordinates that satisfy the obscuring condition. Based on the determined portion of geographic coordinates satisfying the obscuring condition, altering the geographic coordinates in the determined portion of the geographic coordinates to reduce their precision or accuracy. The computing device transmits the altered geographic coordinates and the geographic coordinates that did not satisfy the obscuring condition.

Abstract: A system comprises a computer having a processor and a memory, the memory storing instructions executable by the processor to access sensor data of a sensor of a vehicle while an adaptive cruise control feature of the vehicle is active, detect, based on the sensor data, an object located along a path of travel of the vehicle, determine that the object is a moveable object based on a radar return of a radar reflector of the object, and responsive to the determination that the object is the moveable object, adjust, by the adaptive cruise control feature, the speed of the vehicle.

Abstract: A system includes a processor and a memory storing instructions executable by the processor to control at least one of a steering system or a propulsion system to operate a vehicle at a speed below a speed threshold. The instructions include instructions to determine whether one or more second vehicles a first distance from the vehicle are traveling below the speed threshold. The instructions include instructions to, upon determining the second vehicles are traveling below the speed threshold, continue to control the steering system or the propulsion system. The instructions include instructions to, upon determining the second vehicles are not traveling below the speed threshold, transition control of the steering system or the propulsion system to a human operator of the vehicle.

Abstract: Methods and systems are provided for a start/stop feature. In one example, a method includes adjusting start/stop conditions in response to a vehicle operator customizing start/stop conditions. The vehicle operator customizes start/stop conditions for a plurality of different driving conditions.

Abstract: Disclosed are systems and methods for projecting virtual parking lines in alignment with actual parking lines to facilitate parking within a parking stall defined by the actual parking lines to prevent unnecessary damage to vehicles in an area where the actual parking lines may not exist or be visible. The system identifies the location of the actual parking lines within a defined parking area based on previously recorded actual parking line data as well as localization of the vehicle within the defined parking area relative to the nearby landmarks. Virtual parking lines are generated that correspond with the location of the actual parking lines and are projected in alignment with the actual parking lines to facilitate parking.

Abstract: Disclosed are systems and methods for projecting virtual parking lines in alignment with actual parking lines to facilitate parking within a parking stall defined by the actual parking lines to prevent unnecessary damage to vehicles in an area where the actual parking lines may not exist or be visible. The system identifies the location of the actual parking lines within a defined parking area based on previously recorded actual parking line data as well as localization of the vehicle within the defined parking area relative to the nearby landmarks. Virtual parking lines are generated that correspond with the location of the actual parking lines and are projected in alignment with the actual parking lines to facilitate parking.

Abstract: The disclosure generally pertains to systems and methods to predict a vehicle preference of a customer of a rental vehicle agency. An example method to do so involves a computer executing a prediction procedure to obtain and evaluate information associated with a customer. The information can include vehicle ownership history and/or monitoring data obtained from vehicles used by the customer (a personal vehicle, a taxi, and/or a ride share service vehicle, for example). The information may be evaluated by the computer to determine a personal profile of the customer. The personal profile can include items such as physical attributes of the customer, family size, driving characteristics, and/or past vehicle ownership. The personal profile of the customer may then be used by the computer to predict a type of vehicle preferred by the customer and to select, from a vehicle fleet, a vehicle that matches the preferred type of vehicle.

Abstract: While operating a vehicle, a candidate marker is detected via first image data from a first image sensor. Upon failing to identify the candidate marker, vehicle exterior lighting is actuated to illuminate the candidate marker. Then the candidate marker is determined to be one of a real marker or a projected marker based on determining whether the candidate marker is detected via second image data from the first image sensor. Upon determining the candidate marker is the real marker, the vehicle is operated based on the real marker.

Abstract: A system comprises a computer having a processor and a memory, the memory storing instructions executable by the processor to access sensor data of a first sensor of a vehicle while an adaptive cruise control feature of the vehicle is active, detect, based on the sensor data of the first sensor, a stationary object located along a path of travel of the vehicle, wherein the stationary object is located outside of a range of a second sensor of the vehicle, determine a presence of an intersection within a threshold distance of the stationary object that is along the path of travel of the vehicle, and responsive to a determination that the stationary object is a stopped vehicle of the intersection, adjust, by the adaptive cruise control feature, the speed of the vehicle.

Abstract: This disclosure is generally directed to systems and methods related to providing advice to a driver of a vehicle involved in a traffic accident. In an example embodiment, a sensor generates a sensor signal based on detecting a traffic accident involving the vehicle in which the sensor is mounted. A computer evaluates the sensor signal and identifies various actions to be performed in conformance with legal and/or insurance requirements applicable to the site of the traffic accident. The legal and/or insurance requirements can vary from one site to another (state to state, for example). The computer may carry out some of the actions automatically and may provide an advisory to the driver of the vehicle to carry out some other actions, such as to exit or stay in the vehicle and to move or not to move the vehicle.