Exemplary embodiments are disclosed of systems and methods for remotely controlling locomotives with gestures. In an exemplary embodiment, a system is configured for allowing an operator(s) to remotely control operation of a locomotive with gesture(s) made by an operator(s). The system includes at least one processor configured to be operable for visually recognizing gesture(s) made by an operator(s) in one or more images captured by at least one camera. A locomotive control unit is configured to be operable for controlling the operation of the locomotive according to the visually recognized gesture(s) made by the operator(s).

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 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.

This application describes methods and apparatus for monitoring of rail networks using fibre optic distributed acoustic sensing (DAS), especially for condition monitoring. One method involves taking (902) a first data set corresponding to measurement signals from a plurality of channels of at least one fibre optic distributed acoustic sensor (100) having a sensing fibre (101) deployed to monitor at least part of the path of the rail network (201). The first data set corresponds to measurement signals acquired as a train (202) passed along a first monitored section of the rail network. The method involves identifying (903) a speed of the train through the first monitored section and dividing (904) the first data set into a plurality of time windows. Each time window contains a different subset of the first data set, with the measurement signal for each successive channel in a time window being delayed with respect to the previous channel by a time related to the identified train speed. For each time window, any appropriate time shift is identified (905) and applied (906) to the measurement signals for a channel so as to substantially align the measurement signals of the channels within the time window. The data from the time windows is then combined (907) after any time shifts have been applied to form an aligned first data set; and a characteristic train signal is derived (908) from the aligned first data set. The characteristic signal may be removed from the aligned first data set (1007) to leave remainder data. The characteristic trains signal and/or remainder data may be analysed for condition monitoring.

This application describes methods and apparatus for monitoring of rail networks using fibre optic distributed acoustic sensing (DAS), especially for condition monitoring. One method involves taking (902) a first data set corresponding to measurement signals from a plurality of channels of at least one fibre optic distributed acoustic sensor (100) having a sensing fibre (101) deployed to monitor at least part of the path of the rail network (201). The first data set corresponds to measurement signals acquired as a train (202) passed along a first monitored section of the rail network. The method involves identifying (903) a speed of the train through the first monitored section and dividing (904) the first data set into a plurality of time windows. Each time window contains a different subset of the first data set, with the measurement signal for each successive channel in a time window being delayed with respect to the previous channel by a time related to the identified train speed. For each time window, any appropriate time shift is identified (905) and applied (906) to the measurement signals for a channel so as to substantially align the measurement signals of the channels within the time window. The data from the time windows is then combined (907) after any time shifts have been applied to form an aligned first data set; and a characteristic train signal is derived (908) from the aligned first data set. The characteristic signal may be removed from the aligned first data set (1007) to leave remainder data. The characteristic trains signal and/or remainder data may be analysed for condition monitoring.

A route examination system includes a thermographic camera configured to be logically or mechanically coupled with a vehicle that travels along a route. The thermographic camera is also configured to sense infrared radiation emitted or reflected from the route and to generate a sensed thermal signature representative of the infrared radiation that is sensed. The system also includes a computer readable memory device configured to store a designated thermal signature representative of infrared radiation emitted from a segment of the route that is not damaged. The system also includes an analysis processor configured to determine a condition of a first portion of the route relative to other portions of the route at least in part by comparing the sensed thermal signature and the designated thermal signature.

A route examination system includes a thermographic camera configured to be logically or mechanically coupled with a vehicle that travels along a route. The thermographic camera is also configured to sense infrared radiation emitted or reflected from the route and to generate a sensed thermal signature representative of the infrared radiation that is sensed. The system also includes a computer readable memory device configured to store a designated thermal signature representative of infrared radiation emitted from a segment of the route that is not damaged. The system also includes an analysis processor configured to determine a condition of a first portion of the route relative to other portions of the route at least in part by comparing the sensed thermal signature and the designated thermal signature.

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 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 route examination system includes a thermographic camera configured to be logically or mechanically coupled with a vehicle that travels along a route. The thermographic camera is also configured to sense infrared radiation emitted or reflected from the route and to generate a sensed thermal signature representative of the infrared radiation that is sensed. The system also includes a computer readable memory device configured to store a designated thermal signature representative of infrared radiation emitted from a segment of the route that is not damaged. The system also includes an analysis processor configured to determine a condition of a first portion of the route relative to other portions of the route at least in part by comparing the sensed thermal signature and the designated thermal signature.