Abstract: Various approaches allow for shared transportation reservations and related actions to be made based on a user's proximity to a shared transportation station. Data is received concerning the user's computing device, such as a vehicle, a mobile device, an internet-connected device, or a cellular network-connected device. Approaches can use a variety of data formats, including image data, location coordinates, or wirelessly-transmitted data. Based on such data and a criterion such as a threshold proximity to the station, the user's account status is determined and access to same authorized. Via the account, numerous actions may be taken, including automatically triggering a transport mode reservation or return, prompting the user to reserve or return the shared transportation, or debiting the user per a fee associated with the transportation reservation. Further, neural network techniques may be applied to train a model for generating related recommendations.

Abstract: An intelligent bicycle sharing system, or other vehicle sharing system, is able to provide helpful bicycle availability indications based on historical data and user proximity. Historical data can be collected over time as users use the bicycle sharing system. For example, the historical data may include how many bicycles are checked at out a given time and how many remain at a given location. In some embodiments, an indication may be provided to the user as the user approaches the vehicle sharing system. The indication may provide information regarding the availability of bicycles.

Abstract: A dolly includes an actuated platform and obstruction sensor as well as a camera and a depth sensor. The eye height of a user is determined according to outputs of the camera and depth sensor. The platform is then moved to an elbow height determined based on the eye height and the depth sensor is moved to a position above the platform. In response to detecting obstruction of the obstruction sensor, the platform is lowered. Upon completion of loading, the platform is lowered to a lowest position. A stand may be retracted upon lowering of the platform to its lowest position.

Abstract: Various approaches allow for shared transportation reservations and related actions to be made based on a user's proximity to a shared transportation station. Data is received concerning the user's computing device, such as a vehicle, a mobile device, an internet-connected device, or a cellular network-connected device. Approaches can use a variety of data formats, including image data, location coordinates, or wirelessly-transmitted data. Based on such data and a criterion such as a threshold proximity to the station, the user's account status is determined and access to same authorized. Via the account, numerous actions may be taken, including automatically triggering a transport mode reservation or return, prompting the user to reserve or return the shared transportation, or debiting the user per a fee associated with the transportation reservation. Further, neural network techniques may be applied to train a model for generating related recommendations.

Abstract: An intelligent bicycle sharing system, or other vehicle sharing system, is able to provide helpful bicycle availability indications based on historical data and user proximity. Historical data can be collected over time as users use the bicycle sharing system. For example, the historical data may include how many bicycles are checked at out a given time and how many remain at a given location. In some embodiments, an indication may be provided to the user as the user approaches the vehicle sharing system. The indication may provide information regarding the availability of bicycles.

Abstract: An intelligent bicycle sharing system, or other vehicle sharing system, is able to provide helpful bicycle availability predictions based on historical data, including various utilization statistics. Historical data can be collected over time as users use the bicycle sharing system. For example, the historical data may include the number of available bicycles at various locations and times, as well as contextual data associated with the locations and times. Contextual data may include data regarding the weather, local events, season, day of the week or year, news events, among other environmental factors that may or may not influence bicycle utilization. In some embodiments, a model, such as a machine learning model (e.g., neural network) may be trained using the historical data as training data such that the model can predict bicycle availability for a certain future time and location.

Abstract: A dolly includes an actuated platform and obstruction sensor as well as a camera and a depth sensor. The eye height of a user is determined according to outputs of the camera and depth sensor. The platform is then moved to an elbow height determined based on the eye height and the depth sensor is moved to a position above the platform. In response to detecting obstruction of the obstruction sensor, the platform is lowered. Upon completion of loading, the platform is lowered to a lowest position. A stand may be retracted upon lowering of the platform to its lowest position.

Abstract: A provider, such as a transportation management service, can manage transport for a number of riders between various locations. Individual routes can include at least two segments using the same or different modes of transportation. A customer can select a transportation option for the journey that causes reservations to be made for the various segments. It might subsequently be determined that the customer will be unable to make a connection for at least one of the segments. Using information such as an estimated time of arrival of the current segment, the customer can be rebooked on an alternate transportation option that will enable the customer to be transported to the target destination according to the criteria for the journey. Segments can be rebooked for other reasons as well, such as where a better segment option becomes available or is discovered.

Abstract: A provider, such as a transportation management service, can manage transport for a number of riders between various locations. Routes can include at least two segments using the same or different modes of transportation. A customer can select a transportation option for an initial segment, without having to commit to options for other segments of the route. Transportation for those subsequent segments can be automatically booked or suggested at, or during, a time for the journey, such as during travel for the initial segment of the journey. A transportation service can receive confirmation that the rider is on a particular vehicle, determine the estimated time and location of arrival, and determine routing options for the next segment. The service can then automatically book the best option for the rider, or can suggest one or more options for selection or confirmation by the rider.

Abstract: A bicycle includes a frame, a charging circuit carried by the frame and configured to capture energy associated with movement of the bicycle, a power module carried by the frame, and a switch disposed electrically between the charging circuit and power module. The power module, in response to an indication that the bicycle is travelling downhill, closes the switch to enable energy transfer between the charging circuit and power module.

Abstract: A vehicle parking assist system includes at least one processor configured to establish communication with a parking automation system external to a vehicle to assist in a parking maneuver. The parking automation system includes at least one sensor to provide a measured distance value from an object to the vehicle. The processor is further configured to control a brake system of the vehicle based on the measured distance value via the sensor. The processor is further configured to control the vehicle to come to a stop based on the measured distance value being less than a first predefined threshold via the brake system.

Abstract: A method or system for controlling a vehicle having auto stop and auto start functions includes selectively inhibiting or disabling the auto stop or auto start functions in response to a detected vehicle position relative to an automatically learned vehicle route. The vehicle route is learned in response to previous drive cycles.

Abstract: A system may receive historical climate control selections by a user and environmental conditions across a plurality of climate-controlled contexts; identify a correlation of temperature settings in a first of the climate-controlled contexts to temperature settings in a second of the climate-controlled contexts for an environmental condition; and update a user profile of the user according to the correlation. The system may also identify an upcoming user transition from a first climate-controlled context to a second climate-controlled context; and precondition the second context in accordance with the correlation.

Abstract: The present disclosure extends to methods, systems, and computer program products for providing a socially based platform for rating routes of travel based on member user experience.

Abstract: A drive unit for a vehicle includes a drive unit spindle. The drive unit spindle extends along an axis for connecting the drive unit to the vehicle. The drive unit further includes one or more wheel assemblies. Each of the wheel assemblies has a hub that is removably supported by the spindle along the axis. At least one of the wheel assemblies includes a wheel which rotates about the hub and a motor connected to the wheel to rotate the wheel about the hub.

Abstract: A vehicle system includes a charging interface that is configured to connect to a bicycle battery and a processing device programmed to determine a state of charge of the bicycle battery. The processing device further estimates traveling ranges of a vehicle and a bicycle. The vehicle system further includes a navigation module programmed to generate a route to a selected destination based on the estimated traveling ranges of the vehicle and the bicycle.

Abstract: A vehicle computing system includes at least one processor configured to communicate with a remote smoke detector device includes a smart device interface configured to provide access to the remote smoke detector device, a scripting application configured to utilize the smart device interface to execute scripting settings to manage the remote smoke detector, and a user interface of the scripting application configured to output one or more messages from the remote smoke detector.

Abstract: Example rotating camera systems and methods are described. In one implementation, an apparatus includes a motor having a camera mounting mechanism and configured to rotate a camera attached to the mounting mechanism. A communication module receives vehicle data from a vehicle. A rotation control module determines a current rotational orientation of the motor and determines a speed and direction to rotate the motor based on the received vehicle data.

Abstract: A bicycle includes a frame, a charging circuit carried by the frame and configured to capture energy associated with movement of the bicycle, a power module carried by the frame, and a switch disposed electrically between the charging circuit and power module. The power module, in response to an indication that the bicycle is travelling downhill, closes the switch to enable energy transfer between the charging circuit and power module.

Abstract: A bicycle includes a frame, a charging circuit carried by the frame and configured to capture energy associated with movement of the bicycle, a power module carried by the frame, and a switch disposed electrically between the charging circuit and power module. The power module, in response to an indication that the bicycle is travelling downhill, closes the switch to enable energy transfer between the charging circuit and power module.