A computer-implemented method is provided for allocating a set of shared dockless bikes. The method includes providing a notification to a user of an availability prediction of a shared dockless bike, from among the set of shared dockless bikes, based on a trajectory of the shared dockless bike with respect to a current location of the user, and adding the user to a request queue associated with the current location of the user, responsive to the user agreeing to wait a specified time period for access to the shared dockless bike. The method further includes maintaining an available bikes queue for newly available shared dockless bikes, from among the shared dockless bikes, responsive to the newly available ones of the shared dockless bikes becoming available. The method also includes notifying users of the newly available shared dockless bikes in a priority order determined from the request queue.

A method of assigning a passenger to a lavatory within an aircraft passenger cabin, wherein the aircraft passenger cabin comprises at least two lavatories, each having a waiting queue, and wherein the aircraft passenger cabin is divided into at least two spatial zones, includes: receiving a lavatory assignment request from a passenger; based on a seat location of said passenger, determining a particular spatial zone of the aircraft passenger cabin which includes the seat location of said passenger; and based on the particular spatial zone, adding the passenger to the waiting queue of a particular lavatory, associated with the particular spatial zone. The configuration of the at least two spatial zones is variable and it is based on a plurality of zone configuration parameters including a queue length of each of the waiting queues of the at least two lavatories.

A drive through facility includes a repository, a drive through region having an entry and at least one exit, and at least partially circumventing the repository, and an interface system disposed between the repository and the drive through region. The interface system includes a shuttle system comprising a plurality of shuttles, each shuttle movable along a railing system extending along the drive through region, and a control system, operably coupled to the shuttle system. The control system is configured to automatically move a shuttle along the railing system to a first position, upon entry of a vehicle in the drive through region, operably enable the shuttle to receive an order from a user of the vehicle at the first position, automatically move the shuttle along the railing system to a second position, and operably enable the shuttle to fulfill the order from the repository at the second position.

In some examples, a system may include a first computing device communicatively coupled to a second computing device. Additionally, the first computing device is configured to obtain, from the second computing device, check-in data indicating an arrival of the user of the second computing device at a first location, and in response to obtaining the check-in data, determine current wait times. Moreover, the first computing device is configured to determine a first number of customers waiting for service, determine a first number of associates available to assist the first number of customers, and determine an expected wait time for the user operating the second computing device based at least on the current wait times. In some examples, the first number of customers waiting for service, and the first number of associates available. Further, the first computing device is configured to transmit the expected wait time to the second computing device.

The present invention discloses an open-type intelligent screening channel system, which includes a guest flow guide channel, a main control unit, state indicators, a state identification unit and a locating and tracking unit. A plurality of state indicators are respectively arranged on the guest flow guide channel in sequence; one guest in the guest flow guide channel corresponds to at least one state indicator; the state identification unit is configured to send identification information to the main control unit after a state of a guest is identified; the locating and tracking unit is configured to acquire locating information of the guest and send the locating information to the main control unit; and the main control unit is configured to control work display states of the state indicators. The passing efficiency is greatly improved.

A method and device for scheduling automated guided vehicles, the method comprising: acquiring, based on a task for scheduling automated guided vehicles, information of a set of temporary parking points and information of automated guided vehicles (S101); calculating, based on the information of the set of temporary parking points and the information of automated guided vehicles, the number of missing vehicles at each temporary parking point in the set of temporary parking point (S102); selecting, based on the number of missing vehicles, a target temporary parking point from the set of temporary parking points, and scheduling the automated guided vehicles to be scheduled to the target temporary parking point (S103). According to the method, firstly, the number of missing vehicles at each temporary parking point is calculated, then a target temporary parking point is selected based on the number of missing vehicles, and finally, the automated guided vehicles to be scheduled are scheduled to the target temporary parking point, such that a method for scheduling automated guided vehicles in a human-machine collaborative order picking mode is provided.

A queue management system in accordance with present embodiments may include a data server system including a processor and memory. The queue management system may include an interface system of the data server system configured to receive a reservation request including an indication of a general time period of arrival of a guest to an area. Additionally, the queue management system may include a reservation right allotment system of the data server system configured to correlate a reservation slot for accessing an attraction to identification information for the guest. Further, the queue management system may include a detection system of the data server system configured to determine when a portable identification feature associated with the identification information has arrived to the area, and a reservation assignment system of the data server system configured to establish a reservation to access the attraction at a specific time window.

Disclosed are a belt type barricade and an automatic control system capable of improving operation efficiency of the belt type barricade. The barricade includes a belt roll module configured to have an electromagnet belt automatically fastened to or detached from an adjacent barricade, a driving wheel module configured to support autonomous driving and movement by controlling a plurality of driving wheels, and a barricade control module configured to control the fastening and detachment operation of the electromagnet belt of the belt roll module and driving of the driving wheel module based on arrangement structure design information or waiting mode switching information that is received in real time. The barricade autonomously performs a movement for forming a waiting guide line, a movement for automatic charging, belt fastening, awaiter sensing, waiting information indication, and wireless communication functions. Accordingly, the time required and manpower for constructing a waiting line can be reduced.

A system for the management and reporting of serviceability at stores, restaurants, museums, entertainment venues or other locations 130, 140, 150, 160 is disclosed. The system comprises a serviceability information aggregator 125 working in conjunction with serviceability information agents which take the form of apps operating on smart phones, tablets, smart watches or other devices. The serviceability information aggregator 125 receives information from users 120 operating serviceability information agents related to serviceability parameters, such as wait time, line lengths, parking availability, or crowd size, aggregates the information into a serviceability score or scores, and communicates those on request to one or more users 120 via the application agent.

A queue wait time estimation system includes a processor and a memory having instructions stored thereon. Executing the instructions causes the processor to receive a first input via a first queue monitoring mode, wherein the first input is indicative of a first queue monitoring characteristic of at least one queue, and also causes the processor to receive a second input via a second queue monitoring mode, wherein the second input is indicative of a second queue monitoring characteristic of the at least one queue, and the second queue monitoring mode is different than the first queue monitoring mode. Executing the instructions also causes the processor to determine, based on the first queue monitoring characteristic and the second queue monitoring characteristic, at least one estimated queue wait time corresponding to the at least one queue, and also causes the processor to output the at least one estimated queue wait time.