Abstract: Systems and a method for determining a joint in a virtual kinematic device. Input data are received which contain data on two point cloud representations of two given links of a given virtual kinematic device and data on the specific joint type associated with the two links. A specific joint descriptor analyzer is applied to the input data. The specific joint descriptor analyzer is modeled with a function trained by a machine learning (ML) algorithm and the specific joint descriptor analyzer generates output data. The output data contains specific joint descriptor data for determining the mutual motion capabilities of the specific joint type associated with the two given links. From the output data, at least one joint is determined in the virtual kinematic device.

Abstract: A system and method for consistent ridesharing planning is provided. The system and method can include ridesharing planning with one or more desired rides including one or more consistency requirements. The consistency requirements can be ridesharing requirements that are not changed during rideshare planning, even when additional rides are added to the plan. The rides can be added to the plan individually and consistency can be verified.

Abstract: A system and method are provided for optimized supply planning for a rideshare management system. A desired budget, a desired rate of met demand and/or one or more shift constraints can be received as inputs to the optimizing supply planning. The optimized supply planning can vary based on which objective is to be optimized (e.g., budget or met demand). The optimized supply planning can also be based on historical data, the one or more shift constraints, and additional objectives.

Abstract: The present disclosure relates to systems and methods for managing a fleet of ridesharing vehicles. In one implementation, the system may include a communications interface configured to receive requests for shared rides from a plurality of users; a memory configured to store indications of passenger-capacity for specific ridesharing vehicles in the fleet; and at least one processor configured to receive information from the communications interface and access the memory The at least one processor may be further configured to assign, to ridesharing vehicles already transporting users, additional users for simultaneous transportation in the ridesharing vehicles; track a current utilized capacity of each specific ridesharing vehicle; and implement a threshold block that prevents assignment of additional users to a ridesharing vehicle when the ridesharing vehicle's current utilized capacity is above a threshold being less than the ridesharing vehicle's passenger-capacity.

Abstract: A systems and methods for ridesharing are provided. The systems and method can include and involve ridesharing based on priority, switching between multiple modes of operation (e.g., fixed routes and on demand), and/or switching drivers mid-route. The at least one processor is also configured to determine a first estimated drop-off time of the first user based on the first pickup-up location, the first desired destination. The at least one processor is also configured to calculate a mandatory drop-off time for the first user based on the priority. The at least one processor is also configured to assign a rideshare vehicle that can transport the first user to the first desired destination to minimize a difference between the mandatory drop-off time and the estimated drop-off time.

Abstract: Systems and methods for determining plans for ridesharing vehicle shifts for a plurality of ride requests that can provide an optimal plan are provided. The systems and methods can involve iteratively planning shifts such that a maximal number of rides can be schedules within a shift within one or more limitations.

Abstract: Systems and methods for managing a fleet of ridesharing vehicles are provided. The systems and method for ridesharing include ridesharing between users and a driver that may or may not have access to restricted areas.

Abstract: The present disclosure relates to systems and methods for managing a fleet of ridesharing vehicles. In one implementation, the system may include a communications interface configured to receive requests for shared rides from a plurality of users; a memory configured to store indications of passenger-capacity for specific ridesharing vehicles in the fleet; and at least one processor configured to receive information from the communications interface and access the memory The at least one processor may be further configured to assign, to ridesharing vehicles already transporting users, additional users for simultaneous transportation in the ridesharing vehicles; track a current utilized capacity of each specific ridesharing vehicle; and implement a threshold block that prevents assignment of additional users to a ridesharing vehicle when the ridesharing vehicle's current utilized capacity is above a threshold being less than the ridesharing vehicle's passenger-capacity.

Abstract: An automated ridesharing dispatch system includes a memory configured to store historical data associated with past demand for ridesharing vehicles in a geographical area and a communications interface. The system also includes at least one processor configured to access the memory and to use the historical data to predict imminent demand of ridesharing requests including predicting general zones in the geographical area associated with imminent demand, select a holding zone for prepositioning empty ridesharing vehicles in order to expedite satisfaction of the predicted imminent demand, and send, via the communications interface, to a mobile communications device in a specific ridesharing vehicle, instructions directing the specific ridesharing vehicle to the holding zone.

Abstract: A method, apparatus and product for automated multi-objective solution selection. The method comprises obtaining a set of solutions to a multi-objective problem, wherein each solution is a non-dominated solution. The method further comprises computing outranking weights for each pair of solutions and selecting a subset of the set of solutions based upon a defensive criteria in with respect to the outranking weights, wherein the defensive criteria relates to a number of solutions that outrank the subset. The method further comprises outputting the subset of the set of solutions.

Abstract: A method, apparatus and product for automated multi-objective solution selection. The method comprises obtaining a set of solutions to a multi-objective problem, wherein each solution is a non-dominated solution. The method further comprises computing outranking weights for each pair of solutions and selecting a subset of the set of solutions based upon a defensive criteria in with respect to the outranking weights, wherein the defensive criteria relates to a number of solutions that outrank the subset.

Abstract: A method of visualizing a plurality of designs which comply with a plurality of objectives. The method comprises acquiring a plurality of designs each represented by sequential multivariate data indicative of a compliance with a plurality of objectives, generating an objective anchored based self-organizing map (SOM) having a plurality of objective anchors and maps the plurality of designs in an objective space, and outputting the objective anchored based SOM. Each objective anchor is associated with one of the plurality of objectives, each the design is visualized in the objective anchored based SOM by an indicator which the distance thereof from each the objective anchors is indicative of a compliance thereof with a respective the associated objective in relation to other of the plurality of objectives.

Abstract: A computerized method of providing a multiobjective optimal design through user interactive navigation, comprising: 1) Designating a user reference design which defines multiple objectives in a design space. 2) Exploring the design space to identify a multiobjective optimal design, evolved from the reference design, through multiple navigation iterations. During each iteration the user is interacted to reach an intermediate candidate design which is closer to a Pareto frontier. Each iteration comprising: (a) Identifying and presenting the user, optimal designs which are closer to the Pareto frontier and are within a pre-defined evolution distance from an intermediate design of previous iteration, improving one or more of the objectives. (b) Selecting a preferred design from those candidate designs, according to user instructions, the preferred design is used as the starting point for the next iteration.

Abstract: Enhancing performance in a multicasting system comprising monitoring filtering costs in a multicasting system as system characteristics change over time, wherein the multicasting system is operating based on a first mapping, between a plurality of data flows and multicasting groups, to disseminate data to users that subscribe to one or more of the data flows; computing a second mapping in response to determining that overhead associated with filtering of unwanted flows at the user level has exceeded a threshold; and transitioning the multicasting system from using the first mapping to using the second mapping, in response to determining that the second mapping is feasible as applicable to one or more constraints associated with the multicasting system.

Abstract: A method of visualizing a plurality of designs which comply with a plurality of objectives. The method comprises acquiring a plurality of designs each represented by sequential multivariate data indicative of a compliance with a plurality of objectives, generating an objective anchored based self-organizing map (SOM) having a plurality of objective anchors and maps the plurality of designs in an objective space, and outputting the objective anchored based SOM. Each objective anchor is associated with one of the plurality of objectives, each the design is visualized in the objective anchored based SOM by an indicator which the distance thereof from each the objective anchors is indicative of a compliance thereof with a respective the associated objective in relation to other of the plurality of objectives.

Abstract: Enhancing performance in a multicasting system comprising monitoring filtering costs in a multicasting system as system characteristics change over time, wherein the multicasting system is operating based on a first mapping, between a plurality of data flows and multicasting groups, to disseminate data to users that subscribe to one or more of the data flows; computing a second mapping in response to determining that overhead associated with filtering of unwanted flows at the user level has exceeded a threshold; and transitioning the multicasting system from using the first mapping to using the second mapping, in response to determining that the second mapping is feasible as applicable to one or more constraints associated with the multicasting system.