Abstract: A charging stand is a power supply facility that is able to be housed underground. The charging stand includes a light emitting device and a control device. The light emitting device is configured to emit light to a space above the ground. The control device is configured to control the light emitting device. A first light emission mode of the light emitting device for when the charging stand is available and a second light emission mode of the light emitting device for when the charging stand is not available are different.

Abstract: Embodiments are disclosed for determining delivery confidence intervals. An example method for determining a confidence interval includes the following operations. Delivery information is received from one or more sources, wherein the delivery information comprises data associated with at least one predefined location perimeter. The data associated with the at least one predefined location perimeter is normalized. The normalized data is categorized into training data used to perform a deep neural network regression analysis. A predicted delivery confidence interval is determined by constructing a predictive learning model by conducting a regression of the data using deep neural network regression. The predicted delivery confidence interval is stored in a results table in association with the predefined location perimeter. And, upon receiving a request from a visibility management system, accessing the results table to provide predicted delivery windows to consignees.

Abstract: A shipping management system comprising a memory configured with shipping records representing shipments from a plurality of carriers and scheduling rules that specify a plurality of update frequencies. The shipping management system comprises a processor coupled to the memory. The shipping management system comprises a non-transitory computer readable medium comprising a set of computer executable instructions, the computer executable instructions executable by the processor to dynamically schedule, according to the scheduling rules, updates to update the shipping records; based on the dynamic scheduling, issue update application programming interface (API) calls according to APIs of carrier systems of respective carriers to request shipment data for the shipments; and update the shipping records based on the shipment data returned in response to the API calls.

Abstract: A variety of factors may affect a shipment as it travels from a sender to a recipient. However, reliably gathering and storing information relating to such factors may be difficult because of the wide variation in the means for generating and/or collecting such information. Accordingly, examples of the present disclosure describe shipment record systems and methods. In an example, an image capture device is used to generate image data relating to a shipment. The image data may be associated with the shipment to generate a shipment record, such that the shipment record may be later updated and/or retrieved. In examples, the shipment record comprises other shipment information relating to the shipment. As a result, it is possible to generate statistics, identify trends, and provide reports relating to one or more shipments, which increases accountability and enables shipping agents to dynamically adjust resource allocation, among other benefits.

Abstract: Implementations of various methods and systems of a network, GPS system, mobile computing devices, servers, forward commodity exchanges, 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, virtual transport, underground transport, ship or sea transport, public transport, private transport or drone transport on a computer, mobile computer device, virtual reality computer device or mixed reality computing device.

Abstract: Input data provides an order of a quantity of finished goods to a site. Software is programmed for: accessing data defining an architecture of the supply chain network with sites, and a location of each site; enumerating one or more path solutions along the supply chain network to fulfill the order, each path solution comprising path fragments connecting two sites, a path fragment defining movement of a sub-quantity of the finished goods or raw materials; determining a cost associated with each of the plurality of path fragments, the cost comprising a duty rate, the duty rate associated with a particular path fragment based on the locations of the two sites connected by the particular path fragment and the sub-quantity of the finished goods or finished goods raw materials moved between the two sites; determining one or more optimal path solutions; and outputting the optimal path solutions for display.

Abstract: Particular embodiments described herein provide for a system and method for facilitating autonomous delivery using a delivery assembly transported by an autonomous vehicle, the system and method can include determining a location of the delivery assembly and in response to determining the location of the delivery assembly, configuring a user interface to facilitate the autonomous delivery. The user interface has at least a point of origination configuration and a user configuration. In addition, the user interface can authenticate a user, allow the user to access one or more cubbies of the delivery assembly, and inform the user through one or more indicators on the user interface that the user can access a specific cubby.

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: 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: 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: 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 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.

Abstract: A server for optimizing a travel schedule is disclosed. The server includes a database storing travel information provided from a first electronic device and local information provided from a second electronic device and a processor that generates a travel itinerary based on the travel information and the local information. The travel itinerary includes a travel schedule for each time zone in a travel day and time. The travel information includes information about a travel place, a travel day and time, transportation, and accommodations. The local information includes information about traffic in the travel place, accommodations in the travel place, a restaurant in the travel place, a landmark in the travel place, activity in the travel place, or news for the travel place.

Abstract: Wireless presence is used as a theft prevention mechanism for packages. When a package is shipped, the package includes a wireless security device. Before the package is delivered to its final destination shipping address, the wireless security device is activated and programmed with a security credential. The security credential, though, is based on information obtained during an initial purchase. The wireless security device may thus only be deactivated by a recipient participating in the initial purchase.

Abstract: Among other things, one or more techniques and/or systems are provided for providing users with access to a route for travelling. A user, of a client device, may send a request for access to the route to a route planning service. The route may correspond to a starting location and an ending location. The route planning service may query a route database to identify an entry indicating that a restricted access road segment (e.g., a high occupancy vehicle lane, a shoulder lane, a bus lane, etc.) and/or a road segment (e.g., comprising a traffic light alteration capability) exists between the starting location and the ending location. Responsive to successfully authorizing the user for travelling the restricted access road segment and/or the road segment, the route, comprising the restricted access road segment and/or the road segment, may be provided to the client device.

Abstract: When a user who utilizes a gasoline-powered vehicle shifts to EV car sharing, and the user wishes to have applied a discount for shifting to EV car sharing, a fee setting device setting a car sharing fee requests the user to input a cost paid in the past to purchase gasoline. The fee setting device registers the cost paid to purchase gasoline, as input, and if the cost paid to purchase gasoline is a predetermined amount or more, the fee setting device selects a first discount and sets a basic fee. If the cost paid to purchase gasoline is less than the predetermined amount, the fee setting device selects a second discount and sets a basic fee.

Abstract: Embodiments of the present disclosure provide a travel plan recommendation method, an apparatus, a device and a computer readable storage medium. In the method according to the embodiments of the present disclosure, the travel plan classification model is obtained by training with the comprehensive consideration of the diversity of users, the diversity of the travel environment in time and space and dynamics of the user's travel preference, and the travel feature vector is generated according to the user persona information and the travel mode distribution information of the user, the current travel environment feature information and the feature information of the starting point and the destination point of the current travel, the travel feature vector is inputted into the travel plan classification model to calculate the scores of the candidate travel plans, and the travel plan recommended to the user according to the scores of the candidate travel plans.

Abstract: A system and a method are disclosed for replacing a listing of a canceled booking for a guest user. In an embodiment, an accommodation management system receives an indication that a booking by the guest user has been canceled. The system retrieves, from an attribute database, attributes of the canceled listing and maps each attribute to a set of similar attributes in an equivalence table. The system retrieves, from a listing database, a set of comparable listings, each of which includes one or more of the mapped similar attributes and available during the same time period as the canceled booking. The system books one of the comparable listings for the guest user during the time period by populating a booking data structure with a connection between the comparable listing and the guest user.