The system can include a dispatcher and a plurality of cars. However, the system 100 can additionally or alternatively include any other suitable set of components. The system 100 functions to enable platooning of the plurality of cars (e.g., by way of the method S100).

The system can include a dispatcher and a plurality of cars. However, the system 100 can additionally or alternatively include any other suitable set of components. The system 100 functions to enable platooning of the plurality of cars (e.g., by way of the method S100).

A plurality of simulations executed by a plurality of simulators, respectively, coupled to one another to perform communication are executed efficiently and fast as a whole when executed in cooperation. An information processing system stores execution order information that is information indicating execution orders of the plurality of simulations. Each of the simulators generates output data by executing a corresponding one of the simulations based on input data that is data input at execution start, and execution control of the other simulations is performed when the simulation has reached a check point at a time point halfway through execution of the simulation. The check point is set based on, for example, a viewpoint of time or a viewpoint of situation of the simulation.

A plurality of simulations executed by a plurality of simulators, respectively, coupled to one another to perform communication are executed efficiently and fast as a whole when executed in cooperation. An information processing system stores execution order information that is information indicating execution orders of the plurality of simulations. Each of the simulators generates output data by executing a corresponding one of the simulations based on input data that is data input at execution start, and execution control of the other simulations is performed when the simulation has reached a check point at a time point halfway through execution of the simulation. The check point is set based on, for example, a viewpoint of time or a viewpoint of situation of the simulation.

A method for safely determining a position information of a train on a track includes an on-board system determining appearance characteristics, current distances relative to the train and current angular positions relative to the train of passive trackside structures with a first sensor arrangement of a first localization stage of the on-board system. The on-board system stores a map data base in which georeferenced locations and appearance characteristics of the passive trackside structures are registered. A first position information about the train is derived from a comparison of determined current distances and current angular positions and the registered locations of allocated passive trackside structures by the first localization stage. A second position information about the train is derived from satellite signals determined by a second sensor arrangement of a second localization stage. The first and second position information undergo a data fusion resulting in a consolidated position information.

The present invention relates to a multi-layer coupling relationship-based train operation deviation propagation condition recognition method, where the method includes the following steps: (1) recognizing an effective train event time sequence, including an arrival event and a departure event of a train at each passing station; (2) uniformly extracting train activity data, including a stop activity, a section operation activity, a turn-back activity, and an arrival or departure interval activity; (3) constructing coupling relationship groups between a train event and a train activity and between train activities; and (4) performing statistics on changes of train operation deviation in each relationship group, and outputting a respective distribution function and a time-space distribution visualized result. Compared with the prior art, the present invention has the advantages of being practical, automatic recognition, feedback optimization, and the like.

A solution is disclosed for a state estimation system and method configured for a hyperloop vehicle. Further, the state estimation system provides an estimate of the future position and/or orientation of the hyperloop vehicle such that the hyperloop vehicle can maintain safe, efficient flight during a journey. The state estimation system utilizes a number of sensors to gather data in order to perform state estimation using a Kalman filter. The state estimation is then sent to a motion execution controller such that the state estimation may be translated into commands for engines disposed throughout the hyperloop vehicle such that the position and/or orientation may be reached by hyperloop vehicle.

Provided herein is an energy delivery system for transporting electrical energy from an electrical energy generation facility to an electrical energy consumption facility via rail. The energy delivery system can comprise a train comprising at least one rail car loaded with at least one battery system. The at least one battery system can comprise an energy transfer interface for wirelessly receiving energy from the energy generation facility when the train is located at the energy generation facility for charging batteries of the battery system and for wirelessly transferring energy stored by the battery system to the energy consumption facility when the train is located at the energy consumption facility.

A driving operation management system includes: an operator information accumulation unit that accumulates operator information; a mobile object information acquisition unit that acquires mobile object information; a driving operation reception unit that receives a driving operation of the operator; a service information management unit that acquires and associates the operator information and at least one of the mobile object information or operation information indicating the driving operation, and causes the acquired and associated information to be accumulated as service information; a service information accumulation unit that accumulates the service information; a determination logic setting unit that sets a determination logic for determining an operating state on the basis of the service information accumulated; a determination logic accumulation unit that accumulates the determination logic; and a determination unit that determines the operating state using the determination logic accumulated.

A driving operation management system includes: an operator information accumulation unit that accumulates operator information; a mobile object information acquisition unit that acquires mobile object information; a driving operation reception unit that receives a driving operation of the operator; a service information management unit that acquires and associates the operator information and at least one of the mobile object information or operation information indicating the driving operation, and causes the acquired and associated information to be accumulated as service information; a service information accumulation unit that accumulates the service information; a determination logic setting unit that sets a determination logic for determining an operating state on the basis of the service information accumulated; a determination logic accumulation unit that accumulates the determination logic; and a determination unit that determines the operating state using the determination logic accumulated.