Abstract: A computer-implemented method comprises receiving training data corresponding to a plurality of trips, the training data including at least a value for a set of attributes for each of the plurality of trips, the set of attributes including an indication of when in a week a trip is taken or in which of a plurality of meal-based time zones in a day the trip is taken, the training data including an actual travel time for each of the plurality of trips. The method further comprises creating and storing, in computer memory, a digital model that is configured to predict a travel time for a future trip based on the training data, the digital model including a set of parameters corresponding to the set of attributes, the digital model including a plurality of sets of values for the set of parameters.

Abstract: There is provided a control system that manages running of an automatic driving home delivery locker going around in a specified region by automatic driving. The control system includes a communication unit that receives notification showing that the automatic driving home delivery locker has received a home delivery article, and a control unit that makes control such that an inquiry is made to a terminal device of a consignee of the home delivery article via the communication unit in accordance with reception of the notification so as to estimate a current position of the consignee, and when the consignee is in the specified region, a new running path on which the automatic driving home delivery locker travels a vicinity of the current position of the consignee or a sending destination of the home delivery article is generated and is transmitted to the automatic driving home delivery locker via the communication unit.

Abstract: Systems and methods change a user interface for the purpose of pairing a shipping container with an item that is intended to be shipped in the shipping container. Example embodiments include a machine-implemented method for accessing a shipping request, detecting a radio signal from a candidate container using a radio receiver, detecting an impact between a pairing device and a query container using an accelerometer, determining that the query container is the candidate container, and generating a shipping record that correlates the shipping container and the item. The device can further determine that the query container is the candidate container based on the signal strength and change in signal strength of one or more signals. The device can further detect an impact between the pairing device and the query container by ranking one or more sets of acceleration data collected by the accelerometer.

Abstract: A delivery system for delivering a package to a delivery destination using a moving body, including a person information acquiring unit that acquires person information that is information concerning a person located in a space in a vicinity of a storage portion included at the delivery destination; and a judging unit that judges whether delivery of the package to the delivery destination by the moving body is possible, based on the person information acquired by the person information acquiring unit.

Abstract: Methods and systems are described for optimizing delivery modes used to transport items to a customer. A delivery optimization system includes an online ordering system, a delivery mode optimizer, an order allocator, and a ship label and manifest generator. The delivery mode optimizer selects an optimal shipping mode based on information received from carriers. The lowest cost option to deliver the goods to the destination by a promised delivery date is selected at the time the order is received. A shipping node is selected that can supply the items needed to fulfill the order within the desired timeframe. The delivery mode is reevaluated after the order is prepared for shipment to determine if available shipping options have changed.

Abstract: Access control to a digital event is disclosed. An access request to access a digital event is received from a first device. The access request may include an event identifier and a password. The event identifier may comprise a unique uniform resource locator associated with an electronic ticket for the digital event. It is determined that a second device is currently accessing the digital event, wherein the second device was previously authorized to access the digital event based on the unique uniform resource locator associated with the electronic ticket for the digital event. The first device is caused to receive a digital media stream associated with the digital event and the second device is caused to stop receiving the digital media stream associated with the digital event.

Abstract: An autonomous vehicle for delivery of items can detect its location and the location of targets on item receptacles in order to position the vehicle at a receptacle. The vehicle, in an autonomous mode, can automatically travel between delivery points along a delivery route. A presence sensor on the vehicle can detect ingress and egress from the vehicle to determine when the vehicle is ready to travel to the next delivery point.

Abstract: Systems, methods, computing platforms, and storage media for directing and controlling an autonomous inventory management system are disclosed. Exemplary implementations may place an inventory item in an autonomous storage unit, direct the autonomous storage unit to depart a starting location, direct the autonomous storage unit to board a first transport system departing for a first arrival location, determine whether an event will delay or expedite the arrival of the autonomous storage unit at the first arrival location, determine alternative routing options for the autonomous storage unit to continue travel to the first arrival location, recalculate the route of the autonomous storage unit to the first arrival location, and select a new route to the first arrival location.

Abstract: This application relates to apparatus and methods for automatic delivery route generation and assignment. In some examples, a computing device determines delivery locations for each of a plurality of previous routes taken by each of a plurality of drivers over a period of time. The computing device also obtains a plurality of current routes to be assigned to the plurality of drivers. Further, the computing device determines a familiarity value for each of the plurality of drivers for each of the plurality of current routes based on the delivery locations of the previous routes taken by each driver. The computing device assigns each of the plurality of drivers to a current route based on the determined familiarity values, and stores the assignments in a data repository. In some examples, the computing device transmits the assignments to another computing device, such as a computing device of each driver.

Abstract: Systems and methods are provided for receiving a request for services in a given location from a client device operated by a user and generating a set of features based on information included in the request for services in the given location. The systems and methods further provide for analyzing the set of features using a machine learning model to predict whether only services that can be instantly booked should be provided in response to the request for services in the given location, analyzing a prediction output by the machine learning model to determine that only services that can be instantly booked should be provided in response to the request for services in the given location, and generating a list with only services that can be instantly booked.

Abstract: The present disclosure provides a cargo revenue management system and method that increases the efficiency of cargo revenue management by increasing the prediction accuracy of cargo volumes that customers will tender in order to generate more efficient decisions to accept or reject cargo bookings. The provided system accomplishes this increased efficiency by identifying cargo volumes that customers arbitrarily book when an actual volume is unknown as disguised missing values and deemphasizing such values in the prediction of a cargo volume that will be received. The provided system additionally utilizes machine-learning models trained on a combination of features to predict a cargo volume that will be received for a particular cargo booking. Based on the predicted cargo volume that will be received, the system generates a decision of whether to accept or reject the cargo booking to maximize revenue generation.

Abstract: A computer-implemented method is disclosed. The method includes: receiving input of product value data for a product item and a data modifier for the product value data, the data modifier identifying a target margin value associated with the product item; determining at least one current inventory location for the product item; obtaining a shipping rate associated with shipping the product item to a geographical region from the at least one current inventory location; retrieving historical transfer value preference data for the geographical region; modifying at least one of the product value data, the shipping rate, or the target margin value based on the historical transfer value preference data; determining a transfer value of the product item based on the modified at least one of the product value data, the shipping rate, or the target margin value; and generating an indication of the transfer value of the product item.

Abstract: The present technology pertains to providing an improved user experience for user accounts taking group rideshare rides. In some aspects of the present technology, a rideshare service can use ride experience data relating to a group rideshare ride experience by a user account to determine that a user associated with the user account might have reason to be dissatisfied with the group rideshare ride, and can compensate the user account. In some aspects of the present technology, a rideshare service can proactively suggest a group rideshare itinerary to a user account when the group itinerary matches a previous itinerary arranged by the user account, and the suggested group rideshare itinerary can be offered at a preferred charge. In some aspects of the present technology, a rideshare service can permit a user account to create an organized carpool ride with other invited user accounts.

Abstract: A technique for controlling access to one or more attractions is achieved using a number of access keys, each being issued to one or more users. An electronic queue management part manages a virtual queue in respect of each attraction and receives electronic requests for attraction access, each request relating to an access key and being for the users associated with it to access a particular attraction. Receipt of each request causes the respective users to be added to a corresponding virtual queue. A time at which each group of users reaches the front of the virtual queue and can access the attraction is determined. The users access the attractions by presenting an access key to an access control part, in communication with the electronic queue management part. Only a user presenting an access key at the correct time for accessing the attraction is allowed access to the attraction.

Abstract: A mobile sensing and payment method and system for parking fees is disclosed. The system includes an array of identity information collection modules in a parking facility. A background data processor collects mobile terminal identification information from a mobile terminal of a person entering the parking facility while the mobile terminal performs cell reselection. The data processor simultaneously senses transmission intensity of the mobile terminal using the terminal identity information collection modules. The data processor determines a location of the mobile terminal based upon the changes in the signal transmission intensity from the collection modules. The data processor generates a specific characteristic threshold for the mobile terminal to pass an entrance gate. The data processor causes the entrance gate to be opened records a specific time that the entrance gate is opened. The data processor records a specific time that the person has entered the parking facility.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for scoring candidate routes. One of the methods includes obtaining a predictive model trained on training examples from trip log data, wherein each training example has feature values from a particular trip and a value of a dependent variable that represents an outcome of a portion of the particular trip, wherein the features of each particular trip include values obtained from one or more external data feed sources that specify a value of a sensor measurement at a particular point in time during the trip. Sensor values from one or more external data feed sources of a sensor network are received. Feature values are generated using the sensor values received from the one or more external data feed sources. A predicted score is computed for each route using the feature values for the candidate route.

Abstract: An information processing system includes: a collection/delivery request portion configured to notify, to a terminal of a carrier who collects or delivers a package, information on a collection/delivery area where the package is requested to be collected or delivered; a vehicle detection portion configured to detect that the delivery vehicle has moved into the collection/delivery area; and a collection/delivery management portion configured to, when the vehicle detection portion detects that the delivery vehicle has moved into the collection/delivery area, notify the terminal of the carrier of information on a parking position of a collection/delivery destination vehicle.

Abstract: A system for identifying and grouping alimentary elements for physical transfer, the system comprising a computing device and an identification device, wherein the computing device is configured to receive a plurality of orders. Computing device may generate an identifier for each order, wherein an identifier is a machine-readable label that can be recognized using an identification device. Device may scan the machine-readable label using an identification device, wherein the identification device identifies the identifier from the machine-readable label and places an order into an active queue. Computing device may combine, using the orders in an active queue, orders that are to be transferred together, wherein combining further comprises determining which orders should be combined based upon an optimal path of transfer, and provide, to a user device, grouping instructions corresponding to which orders should be grouped.

Abstract: The present disclosure guides a vehicle to an appropriate parking position in a parking lot. An information processing apparatus according to one aspect of the present disclosure includes a controller, the controller being configured to execute, acquiring vehicle data of a vehicle that is parked in a predetermined parking lot, the vehicle data including information about a parking position in the parking lot, and calculating a parking fee corresponding to the vehicle based on the vehicle data.

Abstract: A transportation platform interfaces with various entities of a transportation system, which may execute instances of a common transportation operating systems. Third-party applications access data and other transportation systems subject to regulatory restrictions of a government agency. Third party applications may perform useful functions and provide interfaces to users of the transportation system or administrators. Data from third-party applications may be added to a transportation database and used by other applications, such as according to purchase agreements.