Abstract: The disclosed embodiments illustrate methods and systems for managing parking violations by vehicles in parking areas in real-time. The method includes receiving parking information from one or more sensors installed at each of one or more parking spots in a plurality of parking areas at a specific time. The method includes detecting a parking violation by a vehicle at a parking spot of the one or more parking spots in a parking area. The method includes identifying one or more vehicle identification parameters of the vehicle associated with the detected parking violation. The method includes determining a penalty for the vehicle with the identified one or more vehicle identification parameters. The method includes transmitting the determined penalty to a user-computing device of a user associated with the vehicle with the identified one or more vehicle identification parameters, wherein the user is imposed with the penalty.

Abstract: A method and a system are provided for identifying one or more locations for placement of one or more replenishment stations for one or more vehicles. The method comprises receiving a historical demand data at a plurality of existing replenishment stations within a pre-defined area. The method identifies one or more point of interest locations within the pre-defined area based on a map data. Further, the method receives traffic information between a plurality of road intersections within the pre-defined area. Based on an aggregation of a first demand prediction, a second demand prediction, and a third demand prediction, the method predicts a replenishment demand at a plurality of locations. The method further identifies the one or more locations from the plurality of locations for placement of the one or more replenishment stations based on the predicted replenishment demand at the plurality of locations and a pre-defined threshold.

Abstract: The disclosed embodiments illustrate methods of data processing for ridesharing management. The method includes receiving a first plurality of ridesharing requests from a first plurality of commuter-computing devices. A ridesharing request of the first plurality of ridesharing requests comprises at least a set of commuter constraints. The method further includes identifying a ridesharing vehicle in real time, by matching one of the first plurality of ridesharing requests with remaining of the first plurality of ridesharing requests based on at least the corresponding set of commuter constraints, to maximize a key performance parameter, for the matched ridesharing requests. The method further includes determining an adaptive detour discount factor associated with the identified ridesharing vehicle.

Abstract: A method of planning for deployment of facilities includes modeling maximization of satisfaction of demands for service in a geographic area (packing constraint) and minimization of distance traveled from locations of interest within the geographic area to deployed facilities (covering constraint) as a mixed packing and covering problem with a service level constraint on the deployed facilities and an overall budget constraint. Additional embodiments describe an iterative process to identify an optimized solution, an incremental process to identify incremental optimized solutions in relation to release of incremental budgets for deployment of facilities, and deployment of facilities in which multiple private providers compete for sites and subsidies from an authoritative agency. Various embodiments of facility deployment planning systems associated with the method are also provided, as well as various embodiments of non-transitory computer readable medium associated with the method.

Abstract: The disclosed embodiments illustrate methods and systems for managing parking violations by vehicles in parking areas in real-time. The method includes receiving parking information from one or more sensors installed at each of one or more parking spots in a plurality of parking areas at a specific time. The method includes detecting a parking violation by a vehicle at a parking spot of the one or more parking spots in a parking area. The method includes identifying one or more vehicle identification parameters of the vehicle associated with the detected parking violation. The method includes determining a penalty for the vehicle with the identified one or more vehicle identification parameters. The method includes transmitting the determined penalty to a user-computing device of a user associated with the vehicle with the identified one or more vehicle identification parameters, wherein the user is imposed with the penalty.

Abstract: A method and a system are provided for identifying one or more locations for placement of one or more replenishment stations for one or more vehicles. The method comprises receiving a historical demand data at a plurality of existing replenishment stations within a pre-defined area. The method identifies one or more point of interest locations within the pre-defined area based on a map data. Further, the method receives traffic information between a plurality of road intersections within the pre-defined area. Based on an aggregation of a first demand prediction, a second demand prediction, and a third demand prediction, the method predicts a replenishment demand at a plurality of locations. The method further identifies the one or more locations from the plurality of locations for placement of the one or more replenishment stations based on the predicted replenishment demand at the plurality of locations and a pre-defined threshold.

Abstract: Embodiments of a dynamic pricing system for determining an optimal commission rate based on a service request being served are disclosed. The dynamic pricing system comprises at least one service device that can communicate with a request device, wherein the at least one service device provides a response for a service request; and a dynamic pricing device interfacing with the at least one service device, wherein the dynamic pricing device determines an optimal commission rate corresponding to a request type for the at least one service device, wherein the optimal commission rate maximizes revenue from the service request.

Abstract: According to embodiments illustrated herein, there is provided a method for training management in an organization. The method includes determining a skill gap in the organization, wherein the skill gap comprises one or more third skills, which are deficient in the organization. The method further includes recommending one or more trainings, corresponding to each of the one or more third skills, to an employee, from the one or more employees, based on at least a skill path or a motivational factor determined for the employee. The method further includes approving automatically the one or more trainings of at least one skill, from the one or more third skills, for the employee based on at least the skill gap, a preference of the employee for the one or more third skills, and the skill path of the one or more employees.