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.

Aspects of the disclosure relate to processing remotely captured sensor data. A computing platform having at least one processor, a communication interface, and memory may receive, via the communication interface, from a user computing device, sensor data captured by the user computing device using one or more sensors built into the user computing device. Subsequently, the computing platform may analyze the sensor data received from the user computing device by executing one or more data processing modules. Then, the computing platform may generate trip record data based on analyzing the sensor data received from the user computing device and may store the trip record data in a trip record database. In addition, the computing platform may generate user record data based on analyzing the sensor data received from the user computing device and may store the user record data in a user record database.

A shipment distribution system and method are presented. The system includes a plurality of goods shipments, one or more delivery vehicles, a tour planning system and a navigation system operating in each delivery vehicle and communicatively linked to the tour planning system. Each goods shipment has a destination address for delivery. Each of the delivery vehicles has a cargo area divided into loading zones. The tour planning system stores a volume of the cargo area of each delivery vehicle. The tour planning system transmits to the navigation system calculated tour routes to deliver each of the goods shipments to corresponding destination addresses according to the positions of the goods shipments in the cargo area and the destination address. Upon arrival at the destination address for each goods shipment, the tour planning system indicates the loading zone in the cargo area storing the goods shipment for delivery.

A power management system includes a sensor interface that receives sensor data samples during operation of a vehicle. A storage device stores the sensor data samples for multiple points in time along a route segment traveled by the vehicle. One or more processors analyze the sensor data samples to detect a historical pattern of the vehicle. The one or more processors determine time efficient operational parameters for the vehicle in response to a destination and an estimated travel time to the destination. The estimated travel time may be based on predicted conditions of the vehicle indicated by the historical pattern. The time efficient operational parameters may be selected to decrease the estimated travel time. At least one of the sensor data samples may include telemetry data.

An electronic device for a vehicle includes a power supply configured to supply power, an interface configured to receive high-definition (HD) map data of a specified region from a server through a communication device and to receive traveling situation information of the vehicle, and at least one processor configured to continuously generate electronic horizon data of the specified region based on the HD map data in a state in which the power is received, and to adjust a speed of reception of the HD map data based on the traveling situation information.

A computer-implemented method of generating and broadcasting telematics and/or image data is provided. Telematics and/or image data may be collected, with customer permission, in real-time by a mobile device (or a Telematics App running thereon) traveling within an originating vehicle. The telematics data may include acceleration, braking, speed, heading, and location data associated with the originating vehicle. The mobile device may generate an updated telematics data broadcast including up-to-date telematics data at least every few seconds; and then broadcast the updated telematics data broadcast at least every few seconds via wireless communication to another computing device to facilitate alerting another vehicle or driver of an abnormal traffic condition or event that the originating vehicle is experiencing. An amount that an insured uses or otherwise employs the telematics data-based risk mitigation or prevention functionality may be used with usage-based insurance, or to calculate or adjust insurance premiums or discounts.

A server collects image pickup data picked up by an image pickup device that is held by a moving body. The server generates spot information in which information regarding a spot specified based on a post in a social networking service is associated with position information indicating a position of the spot and transmits the spot information to an information display device. The information display device displays a screen including first information for receiving a request for image pickup data regarding the spot information, and transmits request information including the position information of the spot information to the server when the first information is selected by a user. The server collects image pickup data picked up by the image pickup device in a region that satisfies a condition for the position indicated by the position information in the request information and transmits the collected data to the information display device.

Technologies for sharing route navigation data in a community cloud include a mobile navigation device of a vehicle and a remote mobile navigation device of a remote vehicle. The mobile navigation device generates sensor data associated with a current route of the vehicle and determines whether a reference traffic event occurs within a segment of the current route of the vehicle. In response to a determination that a reference traffic event occurs, the mobile navigation devices transmits route update data to the remote mobile navigation device. Based on the route update data, the remote mobile navigation device updates a current route of the remote vehicle to avoid the reference traffic event within a corresponding segment of the current route of the remote vehicle. The mobile navigation device may also transmit the sensor data to a community compute device, which may transmit route update data to the remote mobile navigation device.

The invention relates to a vehicle positioning method and system for a fixed parking scenario. The method includes: a map obtaining step of obtaining, by a vehicle, a parking scenario map from a cloud according to a preset trigger condition; a first positioning step of obtaining first geographical position information of the vehicle based on a first marker in a fixed parking scenario, and matching the first geographic position information with the parking scenario map, so as to obtain a first vehicle pose of the vehicle in the parking scenario map; and a second positioning step of obtaining second geographical position information of the vehicle based on a second marker in the fixed parking scenario, and matching the second geographical position information with the parking scenario map, so as to obtain a second vehicle pose of the vehicle in the parking scenario map. According to the invention, planar and spatial positioning of the vehicle can be implemented, and accurate positioning and accurate navigation in a fixed parking scenario can be implemented.

A vehicle routing system includes a vehicle routing and analytics (VRA) computing device, one or more databases, and one or more vehicles communicatively coupled to the VRA computing device. The VRA computing device is configured to generate an optimal route for a vehicle to travel that maximizes potential revenue for operation of the vehicle, the optimal route including a schedule of a plurality of tasks, and generate analytics associated with operation of the vehicle. The VRA computing device is further configured to provide a management hub software application accessible by vehicle users associated with vehicles, tasks sources, and other users.