Abstract: An information processing apparatus includes a processor configured to, in a reservation process of making a reservation for use of a facility, accept input of one purpose of use among plural purposes of use provided for the facility, and in accordance with the accepted purpose of use, change at least one of a function provided in the reserved facility or information for which input is accepted in the reservation process.

Abstract: Systems, methods, and computer-readable media for providing a signaling location beacon are provided. Specifically, a physical location for transferring a delivery from a delivery person to a customer can be determined. Also, a physical beacon associated with the physical location can be identified. Further, an interaction between the physical beacon and the delivery person can be detected. For example, the interaction can occur based on the physical beacon and the delivery person being in physical proximity to each other. As follows, in response to the interaction, transmission of a sensory signal to the delivery person can be facilitated to provide perceivable direction information associated with the physical location to the delivery person.

Abstract: After determining a trip order has a high risk, verification information unavailable in a passenger information database system can be requested and provided for a passenger of the account. Validity of the verification information can be determined using a verification service and stored in a passenger information database. A decision for the trip order can be determined based on the validity of the verification information stored in the passenger information database.

Abstract: A required time prediction apparatus (2000) acquires utilization facility information and assumed date and time information. The utilization facility information is information enabling to determine a departure facility and a destination facility. The assumed date and time information is information enabling to determine an assumed departure date and time assuming departure from the departure facility or an assumed arrival date and time assuming arrival at the destination facility. The apparatus (2000) estimates a waiting time at each facility being present between the departure facility and the destination facility, regarding a case of assuming departure from the departure facility at the assumed departure date and time, or a case of assuming arrival at the destination facility at the assumed arrival date and time. Then, the apparatus (2000) computes, based on the estimated waiting time, a predicted required time from departure from the departure facility to arrival at the destination facility.

Abstract: A method and apparatus for determining a distance travelled by a vehicle for the purpose of assessing and settling a road usage charge allows for determining a distance travelled with a vehicle. A mobile device can acquire odometer values which are subsequently reported to a system that confirms the distance drive and determines a road usage charge. Once the actual distance travelled by the vehicle is determined by the system, a road usage charge can be determined. Fuel excise taxes paid by the vehicle operator for fuel used by the vehicle and tolls can be subtracted from the road usage charge to determine a road usage settlement amount that can be paid from, or refunded to a financial account associated with the vehicle.

Abstract: The present application describes systems and methods for tracking rides, using various signal inputs to determine automatically when a ride is terminated, and billing the rider an accurate amount for a vehicle was in use. Users may sometimes forget to terminate their rides via, for example, a smartphone application that allows a user to terminate a ride. Terminating the ride allows the user to stop the timer used to determine the ride price. Terminating a ride early and accurately if a user forgets to themselves also allows the vehicle to be put into a pool of available vehicles more quickly, resulting in more availability for additional users. Ride share vehicles are becoming more and more prevalent in.

Abstract: A system for directing a ridesharing vehicle may include a communications interface for receiving requests for shared-rides. The system may also include at least one processor programmed to: receive during a first time period a first request from a first user; receive during a first time period a second request from a second user; during the third time period, receive current vehicle location data for ridesharing vehicles, process the first and second requests, and the vehicle location data to identify a specific ridesharing vehicle for transporting both the first and second users, and calculate a ridesharing route for picking up and dropping off the first and second users; and after the third time period and before the second time period, wireless transmit to the specific ridesharing vehicle, the calculated route for picking up the first and second users during the second time period.

Abstract: In implementations of item transfer control systems, a computing device implements a transfer system to receive input data describing types of requested items and corresponding quantities of the types of requested items to receive at each of a plurality of destination sites and types of available items and corresponding quantities of the types of available items that are available at each of a plurality of source sites. The transfer system constructs a flow network having a source node for each of the plurality of the source sites and a destination node for each of the plurality of the destination sites. An integral approximate solution is generated that transfers the corresponding quantities of the types of requested items to each of the plurality of the destination sites using a maximum flow solver and the flow network.

Abstract: A method/system is provided for automatically managing a shipping system, including receiving trip information for a plurality of trips requested by at least one shipper and receiving get-load requests associated with a plurality of carriers to participate in an assignment process to be assigned to execute one or more of the trips. The method further includes tentatively assigning a carrier identified by a get-load request to a trip, triggering a determination whether an EL requirement for the trip is satisfied by an amount of original EL indicated for the carrier, and if not satisfied, requesting adequate immediate digital provision of EL trip coverage for the carrier, only assigning the carrier to the trip after receiving confirmation that the EL trip coverage can be immediately and digitally obtained, and otherwise blocking the get-load request associated with the carrier from participating in an assignment process to be assigned to the trip and/or other equivalent trips.

Abstract: An apparatus has a memory that stores instructions executed by a processor to receive from a source node machine in a network a unique identifier for an object, where the source node machine executes a first instance of an object tracking application. The source node is designated as a parent in a chain-of-custody. The unique identifier and source node information are recorded in an immutable ledger. Updates for the object are received from intermediate node machines in the network. The information updates are recorded in the immutable ledger. A final information update for the object is received from a destination node machine. The final information update is recorded in the immutable ledger. A chain-of-custody map is constructed for the object. The chain-of-custody map is augmented with layers of spatially related data to form a composite chain-of-custody map.

Abstract: Systems and methods of generating active notifications for users of a networked computer system using transportation service prediction are disclosed herein. In some example embodiments, a computer system uses a prediction model to generate a transportation service prediction for a user based on an identification of the user, location data for the user, prediction time data, and historical user data for instances of the user using the transportation, and then causes a notification to be displayed on a computing device of the user based on the transportation service prediction, with the notification indicating a recommended use of the transportation service in association with the place for the time of day and the day of the week, and the notification comprising a selectable user interface element configured to enable the user to submit an electronic request for the recommended use of the transportation service.

Abstract: Implementations of various methods and systems of a network, GPS system, mobile computing devices, servers, forward commodity market servers, grouping software for hubs, transparent open access pricing systems, blockchain audit and safety methods and systems, virtual hub systems, algorithm methods for no arbitrage conditions in a simple easy to use graphical user interface format for mobile or virtual computing over various mediums which are connected via a network to transact and trade transportation seats or capacity units in airline transport, subway transport, train transport, automobile transport, autonomous vehicle transport, taxi transport, space transport, package freight transport, tractor trailer freight transport, cargo freight transport, container freight transport, virtual transport, underground transport, ship or sea transport, public transport, private transport or drone transport on a computer, mobile computer device, audio computer device, virtual reality computer device or mixed reality comp

Abstract: Described herein are systems and processes for producing a pre-trip inspection (PTI) prediction for a cargo container. The PTI prediction makes use of real time data from a container, and historical data from the same container. In some embodiments a system includes at least one container having a sensor, a processor and a database, where the processor may use software to correlate sensor data with stored information from the database to produce a forecast of whether the container will require maintenance at its next entry to a geofence area. In some embodiments the system may have a communication device for transmitting data or instructions to a remote computer for processing. Methods of correlating sensor information and data base information are also described.

Abstract: A method for computing a quality location estimate of a delivery robot by creating an ad-hoc network that can include one or more autonomous delivery vehicles, nearby infrastructure such as 5th Generation signal transceivers, vehicle-to-infrastructure (V2I) enabled autonomous vehicles, and millimeter-wave device components in Line-Of-Sight (LOS) with any of the above communicating devices. The method can include estimating the quality for localization (e.g., dilution of precision), and steering the robot delivery vehicle via a vehicle-to-anything (V2X) antenna disposed on the robot delivery vehicle and/or repositioning the autonomous delivery vehicle itself to obtain maximum positioning accuracy. The location estimates computed by the vehicle are sent to the delivery robot which then fuses these estimates with its onboard sensor values. The method may assist localization based on a 2D occupancy map to enhance the positioning performance and provides robust localization mechanism without expensive 3D sensors.

Abstract: For each order in a supply chain, order details are accessed. A disposition of each load of each order, the disposition comprising a plurality of expected milestones and a plurality of actual milestones. Each load is identified as either completed or projected based on the disposition of the load. An inventory readiness metric for each load is determined based on the disposition of the load. An inventory readiness root cause for each load is determined based on the disposition of the load. Load data for each load is stored in a supply chain data store. The load data comprising the disposition of the load, the inventory readiness metric for the load, and the inventory readiness root cause for the load. Queries about the supply chain are responded to using the load data.

Abstract: A network computer system that determines metrics related to effort and cost on the part of deliverers who deliverer items for delivery orders. The network computer system can implement operations to facilitate or mitigate features that cause deliverers to expend effort or cost when completing delivery tasks.

Abstract: A method utilizing a permission-based access functionality to obtain communication identifying metadata in electronic communications associated with a first and/or a second user. The communication identifying metadata is processed to generate first physical address metadata associated with the second user. Second physical addresses metadata associated with the second user is identified in data objects stored in electronic resources. The first and the second physical addresses metadata are inputted into a machine learning model which identifies related physical addresses, based on a change in a feature of the first and/or second physical addresses metadata and to predict a most likely current physical address of the second user. Upon receipt of the access permission to the current physical address of the second user, a database stored on a computing device of the first user is updated with the current physical address of the second user.

Abstract: Yard management systems and methods are described. A yard management system comprises a database holding load information, a mobile application associated with a user account and executable on a mobile device. The mobile application when executed acquires the identifications of the load, queries the database for the load information, and generates a machine-readable representation corresponding to the identifications of the load, an autonomous yard vehicle configured to mechanically couple with a cargo trailer. The system further comprises a computing system programmed to, in response to detecting the mobile device at the transfer location, navigate to the cargo trailer and guide the coupling between the autonomous yard vehicle and the cargo trailer.

Abstract: Methods and systems for correcting errors in transportation routes are provided. In one embodiment, a method is provided that includes receiving a transportation request that includes at least two locations. A first route prediction may be generated based on a first set of previously-completed routes associated with the at least two locations. A first predictive model may compare the first route prediction with route information associated with a second set of previously-completed routes identified based on the first route prediction. A second route prediction may be generated based on the comparison and may be sent to a mobile device for presentation to a user.

Abstract: A system and method for transport management includes a back-end system controlling a display depicting real-time location tracking for drivers or commodities requiring location tracking, route status tracking for driveaway vehicles and towable unites, and freight using a location tracking device including a GPS device connected to a cloud-based infrastructure.