A delivery system in which the vehicles themselves coordinate their movements. Vehicles are assigned to groups based on proximity. Each vehicle communicates its location and route information to the other vehicles in the group. The vehicles in the group then know the positions and routes of the other vehicles in the group. When a delivery is requested, the vehicles in the group use this information to determine which vehicle should be assigned to make that delivery. As the vehicles move around, their proximity to each other changes. When a vehicle has moved away from a group, that vehicle may be removed from the group and assigned to a different group. In this manner, the vehicle coordination mechanism is a distributed task performed by all the vehicles.

A delivery system in which the vehicles themselves coordinate their movements. Vehicles are assigned to groups based on proximity. Each vehicle communicates its location and route information to the other vehicles in the group. The vehicles in the group then know the positions and routes of the other vehicles in the group. When a delivery is requested, the vehicles in the group use this information to determine which vehicle should be assigned to make that delivery. As the vehicles move around, their proximity to each other changes. When a vehicle has moved away from a group, that vehicle may be removed from the group and assigned to a different group. In this manner, the vehicle coordination mechanism is a distributed task performed by all the vehicles.

Approaches for determining scheduling assignments for the movement of people along a multi-segment path from a starting location to a destination location, are used to manage crowds, predict crowd behavior, and mitigate crowd turbulence. For example, to mitigate crowd congestion, routing solutions specifying an amount of time to spend at a destination and a departure time can be provided. Itinerary assignments, crowd data, and data associated with an event can be analyzed and weighted to determine scheduling assignments. Scheduling assignments can be validated against current crowd data and event data. Current crowd data and event data and crowd simulation can be used to predict future crowd behavior or crowd problems. Scheduling assignments can be rescheduled to mitigate crowd problems or emergencies.

Approaches for determining scheduling assignments for the movement of people along a multi-segment path from a starting location to a destination location, are used to manage crowds, predict crowd behavior, and mitigate crowd turbulence. For example, to mitigate crowd congestion, routing solutions specifying an amount of time to spend at a destination and a departure time can be provided. Itinerary assignments, crowd data, and data associated with an event can be analyzed and weighted to determine scheduling assignments. Scheduling assignments can be validated against current crowd data and event data. Current crowd data and event data and crowd simulation can be used to predict future crowd behavior or crowd problems. Scheduling assignments can be rescheduled to mitigate crowd problems or emergencies.

Systems and methods for modeling and analysis of commerce platform system infrastructure provided by cloud services provider systems to a commerce platform are described. The method may include receiving a cloud services provider spending report generated by a cloud service provider system, wherein the cloud services provider spending report comprises information indicative of costs of cloud services provider resource usage by the commerce platform system over a period of time, and receiving a service report for one or more systems of the commerce platform, wherein the service report comprises information indicative of execution of services of the one or more systems of the commerce platform over the period of time. A directed graph may then be generated that models costs of commerce platform system service usage at the cloud services provider system. The method may also include performing an analysis of the directed graph to attribute cloud service provider system cost information to the commerce platform system service usage at the cloud services provider system, and generating a report indicating cloud service provider system costs attributable services of the commerce platform system.

Systems and methods for modeling and analysis of commerce platform system infrastructure provided by cloud services provider systems to a commerce platform are described. The method may include receiving a cloud services provider spending report generated by a cloud service provider system, wherein the cloud services provider spending report comprises information indicative of costs of cloud services provider resource usage by the commerce platform system over a period of time, and receiving a service report for one or more systems of the commerce platform, wherein the service report comprises information indicative of execution of services of the one or more systems of the commerce platform over the period of time. A directed graph may then be generated that models costs of commerce platform system service usage at the cloud services provider system. The method may also include performing an analysis of the directed graph to attribute cloud service provider system cost information to the commerce platform system service usage at the cloud services provider system, and generating a report indicating cloud service provider system costs attributable services of the commerce platform system.

The present disclosure provides an order processing method, an outbound method, a device, a system, and a storage medium. A server obtains a slot capacity of each workstation and a preset virtual capacity, determines a to-be-processed order of each workstation according to the slot capacity and the virtual capacity, and generates an outbound instruction according to the to-be-processed order. A transfer device transfers goods in the to-be-processed order from the warehouse according to the outbound instruction.

A system for allocating jobs and/or targets to robots in an automated storage and retrieval system includes a plurality of robots and a framework structure forming a three-dimensional storage grid structure for storing storage containers. The framework structure includes a rail system. The rail system provides available routes for the robots handling and transferring the storage containers to and from the storage columns. At least one robot includes a first set of wheels configured to move the robot along a first horizontal direction of the grid-based rail system and a second set of wheels configured to move the robot along a second horizontal direction of the grid-based rail system. The second direction is perpendicular to the first direction. The movement of the robots is controlled by a central computer system including a warehouse management system that includes a router and an assigner. The router decides which routes the robots travel and the assigner has control over which jobs are to be done and which targets to reach. The assigner is configured to create a list of job options of jobs to be done and a list of target options of targets to be reached by each robot, which lists of job options and target options are made accessible to the router. The router is configured to decide which job and target to be assigned to the robot using a multi-position search algorithm. The decision is based on the location of the robot in question and the route it has to travel to reach the job and the target.

A movement assistance device guides a user to a meeting location for meeting a vehicle. The movement assistance device calculates a first required time until the vehicle arrives at the meeting location, and a plurality of routes from the user's current location to the meeting location. The movement assistance device calculates a second required time for the user to arrive at the meeting location from the user's current location for each route. The movement assistance device then determines the route associated with the second required time as a route via which the vehicle could be met on time when a second required time is the same as or shorter than the first required time. The movement assistance device then causes the communication device to output information that indicates the route or routes determined to be the route or routes via which the vehicle could be met on time.

A garbage disposal support apparatus capable of reducing the load on a person disposing of garbage is achieved. A garbage disposal support apparatus includes: a position obtaining unit configured to obtain position information about a person having an object; an object image obtaining unit configured to obtain image information about the object that the person has; a garbage determination unit configured to check the image information about the object that the person has against garbage image information stored in a database, and determine whether the object is garbage or not; a route generation unit configured to generate route information to a disposal place of the garbage, based on the position information about the person and on disposal place information stored in the database, if the object is garbage; and a transmitter unit configured to transmit the route information to a display apparatus.