A server device includes a communication unit and a control unit that send and receives information to and from another device via the communication unit. The control unit receives, from a plurality of terminal devices, information indicating a boarding point at which a user of each of the terminal devices desires to board a vehicle, sends, to the vehicle, information for causing the vehicle to travel along a route via a nearby region of each of a plurality of the boarding points while satisfying a predetermined condition, and notifies the terminal devices of the route.

The disclosed computer-implemented method may include monitoring, during a ride provided by an autonomous vehicle (AV), passenger communications between a passenger and a remote agent using an in-vehicle electronic device. The method may further include identifying passenger ride preferences based on a passenger request, and in association with a first occurrence of a ride event. The method may also include providing confirmation, via the in-vehicle electronic device, that the request is being fulfilled, the fulfillment of which causes a change in the passenger's AV experience based upon changes to features of the AV. The method may further include generating, based upon the request, a prediction of passenger ride preferences for the passenger and then, during a subsequent AV ride carrying the passenger, applying the predicted passenger ride preferences to an AV during a second occurrence of the ride event. Various other methods, systems, and computer-readable media are also disclosed.

A system including a processor and memory may provide for automatically activating or deactivating a feature of a fleet vehicle. For example, one or more fleet vehicles may include one or more of a global-positioning system, a speed governor, electronically-controlled brakes, an electronically-controlled accelerator, a speed limiter, or an on-board computer with a processor and memory. One or more features may be activated by a local or remote computing device or system. For example, a system may determine one or more recommended routes between two or more locations. The system may track a fleet vehicle's progress along a route, and activate a feature of the fleet vehicle based on the fleet vehicle following or not following the recommended route. For example, the system may cause activation of a speed limiter on the fleet vehicle, disable the fleet vehicle, and/or activate or deactivate autonomous features of the fleet vehicle.

Techniques are provided for determining and updating locations in databases for providing to transport user devices to facilitate picking up (retrieving) an item and delivery. Location points (e.g., for retrieval or delivery) can be measured by transporter devices when an item is retrieved, and a central value can be determined from the measured location points. The central value can be used to update a pin location in a database for a destination, e.g., when more paths by the transport user devices cross a boundary (geofence) around then central value than a boundary around an existing pin location.

In some implementations, a system may identify, using a machine learning model, a pattern of events based on account information associated with a user. The system may generate a prediction of a time period during which a predicted event, associated with the pattern of events, is predicted to occur. The system may receive an indication that a vehicle, associated with the user, is to travel a route from a starting location to an ending location during the time period. The system may identify a physical location associated with the predicted event based on a location associated with the vehicle or based on the route. The system may generate a new route that includes the starting location, the physical location as a waypoint along the new route, and the ending location. The system may transmit information that identifies the new route to a device associated with the vehicle.

The present disclosure relates to systems, non-transitory computer-readable media, and methods for customizing a user experience for users of a transportation matching system. In particular, in one or more embodiments, the disclosed systems can detect a mobile application session on a requester device, determine information related to a location of a requester device, and then utilize one or more modifications to modify a user interface experience for the mobile application session on the requester device.

The present disclosure relates to navigational systems, devices, and methods for preparing route guidance information that incorporates user needs—and ensures fulfilment of those needs under a variety of conditions. In particular, this disclosure relates to preparing route guidance information that ensures a user is directed along a route that includes stops where various needs such as e.g. medical, food, or water can be met while also minimizing traffic. Such a system may be useful, for example, when evacuating from a metro region in the face of an oncoming natural disaster such as a hurricane.

A system and method for routing a fleet of vehicles, the vehicles being based across a plurality of depots. The system and method can determine an optimal route by decomposing the optimisation problem into a plurality of sub-problems, optimising each of the sub-problems and then re-combining the optimised sub-problems to obtain a solution to the routing problem. The solution leads to a more efficient routing of the vehicle fleet, and improves accuracy, efficiency, and functionality of the multi-depot vehicle network system.

The refueling vehicle routing system can use a refueling vehicle routing application to compute a set of fuel delivery routes for a fleet of refueling vehicles for multiple different target vehicles to be serviced via cooperating with a refueling scenario simulator. The refueling scenario simulator can run scenarios of different sets of refueling routes to refuel target vehicles in light of an available set of assets, and then the application can supply results of how the versions of the set of refueling routes for the fleet of refueling vehicles are going to satisfy anticipated refueling needs for the target vehicles; to indicate any refueling stops that could be late, early, and/or missed entirely, for a service window of time; as well as to show a measure of how cost effective each of the refueling routes are at the satisfying of the needs for the target vehicles.

Superimposed-image display devices and programs superimpose an image on a surrounding environment in front of a vehicle so that the image can be visually identified. The image includes at least one of a first guidance image that prompts a driver to change driving operation and a second guidance image that does not prompt a driver to change driving operation. The second guidance image is displayed in a display mode in which the second guidance image more harmonizes in at least one of a location, brightness, and color with the surrounding environment than the first guidance image, the surrounding environment being a superimposition target.