Some embodiments provide a mapping application that has a novel way of displaying traffic congestion along roads in the map. The mapping application in some embodiments defines a traffic congestion representation to run parallel to its corresponding road portion when the map is viewed at a particular zoom level, and defines a traffic congestion representation to be placed over its corresponding road portion when the map is viewed at another zoom level. The mapping application in some embodiments differentiates the appearance of the traffic congestion representation that signifies heavy traffic congestion from the appearance of the traffic congestion representation that signifies moderate traffic congestion. In some of these embodiments, the mapping application does not generate a traffic congestion representation for areas along a road that are not congested.

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 parking assistance device includes: an order table configured to record an order of setting the guide routes for autonomous vehicles; a guide calculation unit that calculates the guide routes; a re-calculation unit that re-calculates, in accordance with the order, the guide routes for vehicles among the autonomous vehicles for which the guide routes not overlapping with each other cannot be calculated; a guide setting unit configured to: set the guide routes for vehicles among the autonomous vehicles for which the guide routes not overlapping with each other can be calculated; and not set the guide routes for the vehicles for which the guide routes not overlapping with each other cannot be calculated; a route transmission unit that transmits the set guide routes to the autonomous vehicles; and an order change unit that changes the order.

Systems and methods herein describe receiving a target location from a computing device, using a machine learning model: determining a first access point and a second access point associated with the target location, causing presentation of the first access point as a first selectable user interface element and the second access point as a second selectable user interface within a graphical user interface on the computing device, receiving a first selection of the first selectable user interface element from the computing device; and in response to receiving the first selection, and initiating a trip request based on the refined map coordinates of the first access point.

A method, apparatus and computer program products are provided for generating routes for vehicles participating in a platooning plan, where the routes are influenced by one another. Methods may include receiving a first trip request including a first vehicle identification, a first trip origin, and a first trip destination; receiving a second trip request including a second vehicle identification, a second trip origin, and a second trip destination, where the first trip origin, second trip origin, first trip destination, and second trip destination are all different; generating a platooning plan that includes a first route and a second route, where the first route and the second route overlap for at least a portion of the respective route, where at least one of the first route and the second route are generated with an influence from the other of the first route and the second route.

Systems and methods for generating calm or quiet routes are provided. When a user requests navigation directions and indicates a preference for a calm route, a plurality of routes between the origin location and the destination location requested by the user may be identified. Historical sensor data (e.g., including heart rate data, exterior vehicle noise level data, accelerometer data) and traffic data associated with route segments of each of the routes may be analyzed to identify indications of calmness associated with each route segment. Current traffic data associated with the route segments may be analyzed to assign a traffic score representing a level of congestion along the segment and corresponding to a level of insurance risk associated with traversing the segment. Based at least in part upon the indications of calmness and the traffic score associated with each route segment, a route may be selected and presented to the user.

The present disclosure provides a system, method and associated apparatus for autonomous vehicle transportation. The system includes: an operation system configured to generate a transportation plan for a vehicle and transmit the transportation plan to a vehicle controller of the vehicle; and the vehicle controller configured to control, in accordance with the transportation plan, the vehicle to autonomously move to a position of a checkpoint at an entrance to a target highway port, and interact with a checkpoint controller corresponding to the position of the checkpoint for autonomously passing the checkpoint; and control the vehicle to autonomously move from the position of the checkpoint to a specified loading/unloading position in the target highway port, and interact with a loading/unloading control apparatus for autonomous loading/unloading at the loading/unloading position. The system, method and associated apparatus can achieve fully autonomous goods transportation, save transportation costs and reduce driving security risks.

A parking management apparatus capable of starting management of a parking service without requiring use of ancillary facilities of a parking lot is provided. A parking management apparatus that manages a parking service, including: a position information acquisition unit that acquires position information of a vehicle; a destination information acquisition unit that acquires destination information of the vehicle; a creation unit that creates vicinity parking lot information of a vicinity of a destination provided to the vehicle based on the position information of the vehicle, the destination information of the vehicle, and wide-area parking lot information; and a management unit that specifies a parking lot where the vehicle has entered based on the position information of the vehicle and the wide-area parking lot information or the vicinity parking lot information and starts the management of the parking service in the parking lot.

Navigation devices and methods of operation are provided. The navigation device includes a communication unit; a display; an input unit for receiving an input of data; a communication unit; and a controller for controlling operation of the display and the input unit. The controller connects to a data server through the communication unit, requests path setting information to the data server, receives the path setting information from the data server, acquires present position information of the navigation device, acquires a user moving path by reflecting the acquired position information and the received path setting information, and sets the user moving path as a guidance path. In this case, the path setting information is generated in another electronic device or the data server based on user input information input from the another electronic device.

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.