Abstract: Embodiments for network reconstruction from message data by a processor. A digital map may be created using one or more messages of a plurality of vehicles obtained at a plurality of control points of a route network. The digital map may be analyzed to estimate a feasibility of simultaneous trajectories of the plurality of vehicles between selected locations in the route network.

Abstract: Embodiments for network reconstruction from message data by a processor. A digital map may be created using one or more messages of a plurality of vehicles obtained at a plurality of control points of a route network. The digital map may be analyzed to estimate a feasibility of simultaneous trajectories of the plurality of vehicles between selected locations in the route network.

Abstract: A method for allocating energy to a plurality of devices, wherein each device is configured to consume, store and/or supply energy, the method includes the steps of: assigning each device to a group of devices; assigning an aggregation node device to each group of devices; for a selection of devices transmitting local power cost functions of the devices and/or power usage profiles of the devices with respect to a predetermined time slot to the assigned aggregation node device; at the aggregation node device, generating aggregated data as a function of the received local power cost functions and/or power usage profiles; transmitting the aggregated data to a central processing device; at the central processing device, optimizing a global cost function for allocating power to the devices as a function of the aggregated data.

Abstract: A method for allocating energy to a plurality of devices, wherein each device is configured to consume, store and/or supply energy, the method includes the steps of: assigning each device to a group of devices; assigning an aggregation node device to each group of devices; for a selection of devices transmitting local power cost functions of the devices and/or power usage profiles of the devices with respect to a predetermined time slot to the assigned aggregation node device; at the aggregation node device, generating aggregated data as a function of the received local power cost functions and/or power usage profiles; transmitting the aggregated data to a central processing device; at the central processing device, optimizing a global cost function for allocating power to the devices as a function of the aggregated data.

Abstract: Embodiments relate to generating a route plan. A method of generating a route plan is provided. The method receives a route planning request that includes a starting location, a destination location, a desired arrival time, and a set of user preferences. The method obtains transport service information that includes schedules of a plurality of transport services provided for a geographic region including the starting location and the destination location. The method determines a set of transport services for each of a plurality of possible intermediate locations between the starting and destination locations. The sets of transportation services provide a maximum probability of arriving at the destination location before the desired arrival time as long as a user takes a first-arriving transportation among the set of transport services at each intermediate location while traveling from the starting location to the destination location.

Abstract: Embodiments relate to generating a route plan. A method of generating a route plan is provided. The method receives a route planning request that includes a starting location, a destination location, a desired arrival time, and a set of user preferences. The method obtains transport service information that includes schedules of a plurality of transport services provided for a geographic region including the starting location and the destination location. The method determines a set of transport services for each of a plurality of possible intermediate locations between the starting and destination locations. The sets of transportation services provide a maximum probability of arriving at the destination location before the desired arrival time as long as a user takes a first-arriving transportation among the set of transport services at each intermediate location while traveling from the starting location to the destination location.

Abstract: A system and method is provided for consistent price optimization in multi-modal transportation networks. A corridor is constructed for each origin-destination pair of a transportation network based on one or more parameters. Monotonicity constraints and triangle constraints are generated for each origin-destination pair. An objective function is constructed and convexified using point-price elasticity for consistent price optimization. The one or more parameters and coefficients for a mathematical optimization program are then computed and the mathematical optimization problem is solved for a consistent optimal pricing scheme.

Abstract: A system and method is provided for revenue management in multi-modal transportation networks. A corridor is constructed for each origin-destination pair of a transportation network based on one or more parameters. Monotonicity constraints and triangle constraints are generated for each origin-destination pair. An objective function is constructed and convexified using point-price elasticity for consistent price optimization. The one or more parameters and coefficients for a mathematical optimization program are then computed and the mathematical optimization problem is solved for a consistent optimal pricing scheme.

Abstract: A method for allocating energy to a plurality of devices, wherein each device is configured to consume, store and/or supply energy, the method includes the steps of: assigning each device to a group of devices; assigning an aggregation node device to each group of devices; for a selection of devices transmitting local power cost functions of the devices and/or power usage profiles of the devices with respect to a predetermined time slot to the assigned aggregation node device; at the aggregation node device, generating aggregated data as a function of the received local power cost functions and/or power usage profiles; transmitting the aggregated data to a central processing device; at the central processing device, optimizing a global cost function for allocating power to the devices as a function of the aggregated data.

Abstract: A method for allocating energy to a plurality of devices, wherein each device is configured to consume, store and/or supply energy, the method includes the steps of: assigning each device to a group of devices; assigning an aggregation node device to each group of devices; for a selection of devices transmitting local power cost functions of the devices and/or power usage profiles of the devices with respect to a predetermined time slot to the assigned aggregation node device; at the aggregation node device, generating aggregated data as a function of the received local power cost functions and/or power usage profiles; transmitting the aggregated data to a central processing device; at the central processing device, optimizing a global cost function for allocating power to the devices as a function of the aggregated data.