Dynamic allocation and coordination of auto-navigating vehicles uses robotic vehicles and centrally dispatched roaming order selectors to create a significantly more efficient, yet flexible, approach to picking goods within a warehouse. Robotic vehicles are configured to be loaded with goods from pick faces to fill orders. Each robotic vehicle follows a route that includes appropriate pick face locations. The robotic vehicles navigate from pick face to pick face where particular goods are located. Order selectors are dynamically and independently dispatched to meet the robotic vehicles at their pick face locations to load goods. Movement of the order selectors is orchestrated to increase efficiency in the order filling process within the warehouse.

Examples relate to systems, method and systems, methods and computer programs for efficiently determining an order of driving destinations and for training a machine-learning model using distance-based input data. A system for determining an order of a plurality of driving destinations is configured to obtain information on a distance between the plurality of driving destinations, the distance being defined for a plurality of routes between the plurality of driving destinations, with the routes being defined separately in both directions between each combination of driving destinations of the plurality of driving destinations within the information on the distance. The system is configured to provide the information on the distance between the plurality of driving destinations as input to a machine-learning model, the machine-learning model being trained to output information on an order of the plurality of routes based on the information on the distance provided at the input of the machine-learning model. The system is configured to determine the information on the order of the plurality of driving destinations based on the information on the order of the plurality of routes.

Provided herein are a method and device of crew replanning for high-speed railway typical scenarios, and an electronic device and a computer-readable storage medium. The method includes: building a high-speed railway crew connection network; establishing a model for high-speed railway crew replanning; decomposing the model into a first sub-model for team leaders and a second sub-model for general crew members; and designing a Lagrangian relaxation algorithm to solve the first sub-model and the second sub-model.

Provided herein are a method and device of crew replanning for high-speed railway typical scenarios, and an electronic device and a computer-readable storage medium. The method includes: building a high-speed railway crew connection network; establishing a model for high-speed railway crew replanning; decomposing the model into a first sub-model for team leaders and a second sub-model for general crew members; and designing a Lagrangian relaxation algorithm to solve the first sub-model and the second sub-model.

A method for providing a multimodal transport service based on a personal air vehicle may include checking, for at least one traffic object, route information including waypoint information and destination information, checking destination information of at least one passenger, setting service use information based on the route information for the at least one traffic object and the destination information of the at least one passenger, checking the service use information of the traffic object that approaches a take-off and landing facility, setting a transport zone as an entry zone of the traffic object, in response to a demand for transport processing of the traffic object, and processing the at least one passenger's getting into the traffic object.

A list of items to pick for an order at a store is obtained. A hierarchical graph of the store is maintained based on regions within the store, endpoints within the store, and locations of items relative to the regions and endpoints. Each item in the list is connected to its nearest endpoint within the graph and a path is found between the endpoints. An optimized and order list of the items is found based on an optimal path through each endpoint. For each segment within the path a list of traversed endpoints is identified. The endpoints are grouped by region; a new navigation instruction is generated only when a given region is changed. The process is repeated for each pair of items in the list; the list is reduced; and translated into text as an optimal path to pick the items of the order within the store.

An optimized route to pick a list of items through a store is obtained. Sensor data for a mobile device of a user is evaluated in real time to provide fine-grain orientation, direction, location, and behaviors of the user along the route during a picking session. A determination is made based on the sensor data and a current portion of the route that the user has picked a current item from the store and a next item along with its route guidance is provided to the user without any user action being required. In an embodiment, tactile, speech, and/or audible feedback is provided from the device when the determination is made that an item was picked by the user. In an embodiment, predefined movements of the device are identified as user-provided route commands and processed on behalf of the user during the session.

An information processing system includes an acquirer configured to acquire a boarding request, a deriver configured to derive, when an action schedule of an automatic driving vehicle includes a standby state based on a boarding request acquired by the acquirer, a usage charge of the automatic driving vehicle reflecting a cost generated in a traveling state in which the automatic driving vehicle carries a user and travels and a cost generated in the standby state, and an output configured to output information including the usage charge derived by the deriver.

What is disclosed is a system to enable a user with an associated user device to receive a context dependent transportation experience, further wherein said system comprises a framework comprising one or more components, wherein said one or more components are coupled to each other and the user device via one or more interconnections; wherein said framework determines at least one context associated with said user and said user device; and wherein based on said determined context, said framework performs one or more actions.

A system and method of augmenting a delivery route. The method comprises receiving first location information from a first position device and receiving second location information from a second position device. The method further comprises storing the first and second location information in a memory structure and determining, based on at least one of the first and second information, a time and a location for each of a plurality of stops. The method also comprises reconciling the determined time and location of each of the plurality of stops with a stored route comprising a plurality of stored stops, the stored stops having a stored location and a stored time associated therewith and estimating a plurality of transition times between pairs of the plurality of stops. The method further also comprises constructing an updated timeline based on the plurality of stored stops, the plurality of determined stops, and the plurality of transition times and updating the delivery route based on the constructed timeline.