The present disclosure relates to a train identification system and method, and a train safety inspection system and method. The train identification system includes: a remote detection component, configured to acquire overall feature information of an inspected train through remote monitoring; and an identification device, configured to determine at least one of a type and a traveling situation of the inspected train according to the acquired overall feature information.

A method and an apparatus for a train control system are disclosed, and are based on virtualization of train control logic and the use of cloud computing resources. A train control system is configured into two main parts. The first part includes physical elements of the train control system, and the second part includes a virtual train control system that provides the computing resources for the required train control application platforms. The disclosed architecture can be used with various train control technologies, including communications based train control, cab-signaling and fixed block, wayside signal technology. Further, the disclosure describes methodologies to convert cab-signaling and manual operations into distance to go operation.

A system and method for simulating positive train control (PTC) systems in a local and controlled environment using software and hardware. The system can simulate various functionalities of the PTC system in the environment using software and hardware components. The system can instruct the software of a train management computer (TMC) to control electromechanical valves to simulate air compression on brake pipes in response to the PTC system executing a penalty on the locomotive. The system can display statuses of various systems on the locomotive to a user using a cab display unit (CDU). The system can control the software and hardware components to simulate warnings and actions from the PTC system allowing locomotive engineers and conductors to experience the PTC system for optimum training.

A system and method for simulating positive train control (PTC) systems in a local and controlled environment using software and hardware. The system can simulate various functionalities of the PTC system in the environment using software and hardware components. The system can instruct the software of a train management computer (TMC) to control electromechanical valves to simulate air compression on brake pipes in response to the PTC system executing a penalty on the locomotive. The system can display statuses of various systems on the locomotive to a user using a cab display unit (CDU). The system can control the software and hardware components to simulate warnings and actions from the PTC system allowing locomotive engineers and conductors to experience the PTC system for optimum training.

A machine learning system for maintaining distributed computer control systems for a train may include a data acquisition hub communicatively connected to a plurality of sensors configured to acquire real-time configuration data from one or more of the computer control systems. The machine learning system may also include an analytics server communicatively connected to the data acquisition hub. The analytics server may include a virtual system modeling engine configured to model an actual train control system comprising the distributed computer control systems, a virtual system model database configured to store one or more virtual system models of the distributed computer control systems, wherein each of the one or more virtual system models includes preset configuration settings for the distributed computer control systems, and a machine learning engine configured to monitor the real-time configuration data and the preset configuration settings. The machine learning engine may warn when there is a difference between the real-time configuration data and the preset configuration settings, the difference being indicative of at least two of the distributed computer control systems being out of synchronization by more than a threshold deviation.

A machine learning system for maintaining distributed computer control systems for a train may include a data acquisition hub communicatively connected to a plurality of sensors configured to acquire real-time configuration data from one or more of the computer control systems. The machine learning system may also include an analytics server communicatively connected to the data acquisition hub. The analytics server may include a virtual system modeling engine configured to model an actual train control system comprising the distributed computer control systems, a virtual system model database configured to store one or more virtual system models of the distributed computer control systems, wherein each of the one or more virtual system models includes preset configuration settings for the distributed computer control systems, and a machine learning engine configured to monitor the real-time configuration data and the preset configuration settings. The machine learning engine may warn when there is a difference between the real-time configuration data and the preset configuration settings, the difference being indicative of at least two of the distributed computer control systems being out of synchronization by more than a threshold deviation.

Provided is an inspection system that can reduce the burden of inspecting a detector provided on a transport vehicle that travels on a preset transport path. An inspection system 1 includes a projection surface 5F that is disposed at a position located within a detection range IE of a detector 3 in a state in which a transport vehicle 2 is present at an inspection location IP set on a transport path R, and onto which detection light IL projected by the detector 3 is projected, an image capturing device C that captures an image of the projection surface 5F, and a determination unit that determines at least one state selected from a position, a shape, and a light intensity of the detection light IL projected onto the projection surface 5F, based on an image captured by the image capturing device C.

A system and method for simulating positive train control (PTC) systems in a local and controlled environment using software and hardware. The system can simulate various functionalities of the PTC system in the environment using software and hardware components. The system can instruct the software of a train management computer (TMC) to control electromechanical valves to simulate air compression on brake pipes in response to the PTC system executing a penalty on the locomotive. The system can display statuses of various systems on the locomotive to a user using a cab display unit (CDU). The system can control the software and hardware components to simulate warnings and actions from the PTC system allowing locomotive engineers and conductors to experience the PTC system for optimum training.

A system and method for simulating positive train control (PTC) systems in a local and controlled environment using software and hardware. The system can simulate various functionalities of the PTC system in the environment using software and hardware components. The system can instruct the software of a train management computer (TMC) to control electromechanical valves to simulate air compression on brake pipes in response to the PTC system executing a penalty on the locomotive. The system can display statuses of various systems on the locomotive to a user using a cab display unit (CDU). The system can control the software and hardware components to simulate warnings and actions from the PTC system allowing locomotive engineers and conductors to experience the PTC system for optimum training.

A system and method for simulating positive train control (PTC) systems in a local and controlled environment using software and hardware. The system can simulate various functionalities of the PTC system in the environment using software and hardware components. The system can instruct the software of a train management computer (TMC) to control electromechanical valves to simulate air compression on brake pipes in response to the PTC system executing a penalty on the locomotive. The system can display statuses of various systems on the locomotive to a user using a cab display unit (CDU). The system can control the software and hardware components to simulate warnings and actions from the PTC system allowing locomotive engineers and conductors to experience the PTC system for optimum training.