A system is provided for estimating the time required for a vehicle to visit a fueling station. The system includes a fueling station server associated with the fueling station and configured to transmit, over a network, a plurality of fueling station parameters. The system also includes sensors within the vehicle; a navigation system configured to provide navigation data; and a non-transitory memory storing fuel tank parameters for the vehicle. The system also includes a processor within the vehicle configured to: based on the navigation data, determine a travel time required for the vehicle to reach the fueling station; based on the fueling station parameters, sensor data, and the fuel tank parameters, compute a fueling time required for the fueling station to fill the fuel tank; and compute a total time requirement, including the travel time and the fueling time.

In a method and system for determining a DTE of a vehicle, real-time transportation situation information from a current position of the vehicle to a destination is transmitted to a vehicle. The transmitted transportation situation information and obtaining vehicle forward driving situation information to the destination are received. Predicted battery consumption energy consumed for traveling from the current position to the destination using a battery usage prediction model to which the obtained vehicle forward driving situation information and current vehicle state information obtained from the vehicle are input are predicted and determined. A DTE at the destination as a predicted value at the current position is determined using the determined predicted battery consumption energy to the destination.

A method for suggesting and facilitating customization of one or more operational zones for a worksite on a device having a Graphical User Interface (GUI). The method includes obtaining, by a processor, operational data associated with at least one type of machine and displaying, by the processor, one or more operational areas corresponding to the one or more operational zones on the GUI based on the operational data meeting a threshold condition. The method further includes receiving one or more user inputs from the GUI to modify the one or more operational areas displayed on the GUI and updating, by the processor, the threshold condition based on the one or more user inputs to generate an updated threshold condition. The method includes reconfiguring, by the processor, the one or more operational areas for subsequent display on the GUI if operational data subsequently received satisfies the updated threshold condition.

A watercraft rental system is used to rent an owner's watercraft to a user. The watercraft rental system includes a computer and a user terminal. The computer communicates with the watercraft and records rental condition information of the watercraft. The user terminal provides borrowing request information to the computer. The borrowing request information corresponds to a response to the rental condition information. The computer executes a rental process of the watercraft based on the borrowing request information.

An apparatus for determining a resource remaining datum of an electric aircraft is disclosed. The apparatus includes a processor and a memory communicatively connected to the processor. The memory contains instructions configuring the processor to receive aircraft data from at least a sensing device, wherein the at least a sensing device is configured to measure at least a parameter of a battery pack of the electric aircraft and generate aircraft data as a function of the at least a parameter of the battery pack of the electric aircraft. The memory contains instructions configuring the processor to determine a reserve energy as a function of a flight mode of the electric aircraft and determine a resource remaining datum as a function of the aircraft data and the reserve energy, wherein the resource remaining datum is related to the battery pack of the electric aircraft.

The disclosed computer-implemented method may include improving safety in operating personal mobility vehicles. The method may track and/or control personal mobility vehicles associated with dynamic transportation networks. The method may improve safety related to PMV operation by taking advantage of the various sources and types of information related to PMV operation that are available in the dynamic transportation network. Other methods, systems, and computer-readable media are disclosed.

Personal mobility vehicles, their various components, methods and systems for controlling, using, tracking, and/or interacting with personal mobility vehicles, and methods and systems for integrating personal mobility vehicles within dynamic transportation networks so that a personal mobility vehicle (PMV) can be used in combination with a vehicle of a transportation provider to efficiently complete a transportation request are discussed. For example, a PMV may be used in combination with a lane-constrained vehicle to improve travel time between two locations in situations where the time it may take for a lane-constrained vehicle to reach the starting location may be affected by traffic congestion at the starting location. The PMV may transport a transportation requestor from a starting location to an intermediate location away from the traffic congestion to then transfer to a lane-constrained vehicle for the remainder of the trip.

The disclosed computer-implemented method may include routing personal mobility vehicles based on road or path conditions. In some embodiments, trip routing for personal mobility vehicles participating in a dynamic transportation network may leverage road condition map data gathered from personal mobility vehicle sensors to evaluate potential routes for personal mobility vehicles. In some examples, the method may account for the type and/or characteristics of the personal mobility vehicle when evaluating a potential route. In some examples, the method may account for user preferences when evaluating a potential route. The method may also make matching decisions for a dynamic transportation matching system and/or personal mobility vehicle distribution decisions for the dynamic transportation network based on the conditions of prospective routes. Various other methods, systems, and computer-readable media are also disclosed.

According to an embodiment, there is provided a vehicle control device including a recognizer configured to recognize a surrounding environment of a vehicle, a driving controller configured to perform driving control based on speed control and steering control of the vehicle on the basis of a recognition result, and an acquirer configured to acquire the remaining amount of energy of the vehicle, wherein the driving controller causes the vehicle to move from a first parking area to a second parking area where parking is possible according to traveling based on the driving control and traveling based on manual driving in a state in which the vehicle is parked or has been parked in the first parking area where the vehicle is parked according to the traveling based on the driving control and when the remaining amount of energy acquired is less than or equal to a threshold value.

A display terminal according to the present disclosure include a memory, and a hardware processor coupled to the memory. The hardware processor is configured to: acquire route information indicating a first traveling route and a second traveling route; and configured to display the first traveling route and the second traveling route. The first traveling route is a route related to an own vehicle among a plurality of traveling routes for suppressing battery deterioration related to a plurality of vehicles calculated based on destination information related to a plurality of destinations and accumulated battery data. The second traveling route is a route related to a second vehicle in a traveling area adjacent to a traveling area of the own vehicle among the plurality of traveling routes.