An in-vehicle device to be mounted on a vehicle including an audio output device configured to output audio and an image output device configured to output an image supplies power to the audio output device during a first period from when a trigger of a passenger getting on the vehicle is detected until when first operation of powering on a power supply of the vehicle is performed, and supplies power to the audio output device and the image output device during a second period from when second operation of shutting down the power supply of the vehicle is performed until when the passenger getting off the vehicle is detected.

Systems and methods for determining and using deviations from driver-specific vehicle performance expectations for a particular vehicle operator are disclosed. Exemplary implementations may obtain trip information or service information that include values for driver performance metrics pertaining to a particular vehicle operator; determine the driver-specific performance expectations by aggregating information included in the obtained trip information; determine particular metric values for a current trip; compare the determined driver-specific performance expectations with the particular metric values for the current trip; determine deviations based on the comparisons; determine whether to recommend an action based on the deviations; and generate and/or provide one or more notifications to at least one of the particular vehicle operator, a stakeholder of the fleet of vehicles, and a remote computing server.

Systems and methods for determining and using deviations from driver-specific vehicle performance expectations for a particular vehicle operator are disclosed. Exemplary implementations may obtain trip information or service information that include values for driver performance metrics pertaining to a particular vehicle operator; determine the driver-specific performance expectations by aggregating information included in the obtained trip information; determine particular metric values for a current trip; compare the determined driver-specific performance expectations with the particular metric values for the current trip; determine deviations based on the comparisons; determine whether to recommend an action based on the deviations; and generate and/or provide one or more notifications to at least one of the particular vehicle operator, a stakeholder of the fleet of vehicles, and a remote computing server.

A system for use in grouping micromobility vehicles. The system includes a communication device associated with each of a plurality of micromobility vehicles, the communication device configured to transmit location data associated with a respective micromobility vehicle. A server is communicatively coupled with each communication device. The server is configured to receive the location data from each communication device, wherein the location data includes at least one of a current location, a direction of travel, or a destination of the plurality of micromobility vehicles, determine a navigational route for each micromobility vehicle, wherein the navigational route is configured to group the plurality of micromobility vehicles en route to a respective destination of each micromobility vehicle, and transmit the navigational route to each communication device.

A system for use in grouping micromobility vehicles. The system includes a communication device associated with each of a plurality of micromobility vehicles, the communication device configured to transmit location data associated with a respective micromobility vehicle. A server is communicatively coupled with each communication device. The server is configured to receive the location data from each communication device, wherein the location data includes at least one of a current location, a direction of travel, or a destination of the plurality of micromobility vehicles, determine a navigational route for each micromobility vehicle, wherein the navigational route is configured to group the plurality of micromobility vehicles en route to a respective destination of each micromobility vehicle, and transmit the navigational route to each communication device.

A control device comprising a processor, wherein the processor is configured to: acquire a warning level indicating a warning measure related to an abnormality that has occurred in a vehicle, from a device installed externally to the vehicle; detect an abnormality that has occurred in the vehicle, from equipment mounted to the vehicle; perform thinning control on a detection result of the abnormality detected according to the warning level; and transmit the detection result resulting from thinning to the device.

A control device comprising a processor, wherein the processor is configured to: acquire a warning level indicating a warning measure related to an abnormality that has occurred in a vehicle, from a device installed externally to the vehicle; detect an abnormality that has occurred in the vehicle, from equipment mounted to the vehicle; perform thinning control on a detection result of the abnormality detected according to the warning level; and transmit the detection result resulting from thinning to the device.

A vehicle hatch clearance determining system includes a plurality of cameras disposed at the vehicle and a control having a processor for processing image data captured by the cameras. During a parking event, and responsive to processing of captured image data, the system detects objects, gathers information pertaining to detected objects exterior the vehicle and generates an environmental model based at least in part on the gathered information. With the vehicle parked, the system determines location of the vehicle relative to at least one detected object of the environmental model and determines if the model includes an object in a region that would be swept by a hatch of the parked vehicle when the hatch is being opened or closed. Responsive to determination that the object is in the region that would be swept by the hatch, the system stops movement of the hatch to avoid impact with the object.

Methods and systems for improving vehicular safety by utilizing uplift modeling techniques to improve a driving tip treatment generation model are provided. According to embodiments, a tip server can analyze telematics data associated with operation of one or more vehicles to determine that a driving tip should be provided to a driver of a vehicle. The tip server then utilize a treatment generation model to determine a treatment for how to provide the driving tip in a manner optimized for the particular driver. The tip server can analyze additional telematics data to determine an effectiveness of the driving tip and to update the treatment generation model in accordance with uplift modeling techniques.

Methods and systems for improving vehicular safety by utilizing uplift modeling techniques to improve a driving tip treatment generation model are provided. According to embodiments, a tip server can analyze telematics data associated with operation of one or more vehicles to determine that a driving tip should be provided to a driver of a vehicle. The tip server then utilize a treatment generation model to determine a treatment for how to provide the driving tip in a manner optimized for the particular driver. The tip server can analyze additional telematics data to determine an effectiveness of the driving tip and to update the treatment generation model in accordance with uplift modeling techniques.