A system and method for automating railroad maintenance by a tie gang using electronic tie marking (ETM) configured to optimize railroad asset maintenance. The system enables collision avoidance between members of the tie gang performing maintenance on railway assets (e.g., Rails, Ties, Ballasts, Turnouts, Crossings, etc.). The system can generate production numbers for the railway assets and evaluate an asset queue for the tie gang to perform maintenance. The system can utilize real-time updates from the tie gang to optimize work output. The system can provide a customizable user interface to identify, track, and process information related to maintenance of the railroad asset. The system also provides for a heads-up-display (HUD) to notify an operator of relevant information, such as maintenance information, travel indicators, and updated asset queue. The system can identify a next location and calculate an optimum path based on sensor input incorporating machine-specific and environmental characteristics.

An automatic train communications system includes a plurality of electronic train devices and a multi-channel communications network, wherein each electronic train device comprises a radio module configured to support a plurality of communications protocols and a plurality of frequency bands, and select a communications protocol and/or a frequency band from the plurality of communications protocols and frequency bands based on at least one performance criterium to reliably communicate with one or more electronic train devices via the multi-channel communications network.

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.

A sensor arrangement for position determination of a rail vehicle includes at least two sensors that can be attached to the rail vehicle. Each of the sensors is configured to ascertain a position speed and to be disposed on the rail vehicle at different positions transverse to the direction of travel. At least one processing apparatus which is connected to the sensors is configured to process the position speeds ascertained by the sensors. An apparatus for position determination of a rail vehicle, a rail vehicle, and a method for position determination for a rail vehicle are also provided.

A method, a device and a system for safely and reliably performing real-time speed measurement and continuous positioning are provided. With the method, inertial navigation data from an inertial navigation signal source arranged in a train is detected, and correction data from a correction signal source is detected. In a case that no correction data is detected, a current speed and a current position of the train is determined based on the inertial navigation data, and in a case that the correction data is detected, the inertial navigation data is corrected with the correction data, and a current speed and position of the train are determined based on the corrected inertial navigation data. Therefore, even in the case that no correction data is detected, the real-time speed measurement and continuous positioning can be performed safely and reliably based on the inertial navigation data.

An on-board thermal track misalignment detection system method therefor is presented. The system can use on-board locomotive sensors attached to an end-of-train device to detect (on the edge), signs and symptoms of thermal misalignments of the track. Once detected an alert can be transmitted to prevent potential derailments. The system can also include a forward-facing and rearward-facing imaging sensors (e.g., camera, LiDAR sensor, etc). The system can wirelessly communicate (e.g., via radio) with a leading locomotive to ensure proper air pressure and location. The system can be powered by an on-board battery and/or air pressure device. Advantageously, the system can calculate whether any rail deviation is significant (e.g., via one or more threshold values). The system can also leverage image processing functionality, executed by one or more processors) to find the centerline and the distance between the tracks.

The present invention relates to a moving block train operation control method and system based on train autonomous positioning, where the method is centered on a train-mounted device, autonomous positioning and integrity checking are implemented for the train-mounted device through satellites, and a movement authority and a target distance curve are calculated according to a real-time position, speed, and line state of a preceding train and in combination with train-to-train communication train safety protection technology, thereby achieving moving block. Compared with the prior art, the present invention has the advantages that line use efficiency, system work efficiency and operation efficiency are improved, a quantity of railside devices is reduced, and system construction and maintenance costs are reduced.

A method and a system (30) for inspecting and/or mapping a railway track (18). The method comprises: acquiring geo-referenced rail geometry data associated with geometries of two rails (20) of the track along the section; acquiring geo-referenced 3D point cloud data, which includes point data corresponding to the two rails and surroundings of the track along the section; deriving track profiles of the track from the geo-referenced 3D point cloud data and the geo-referenced rail geometry data; and comparing the track profiles and generating enhanced geo-referenced rail geometry data and/or enhanced geo-referenced 3D point cloud data based on the comparison.

A track data determination system including: a video camera device positioned on a vehicle to capture video data in at least one field-of-view; a geographic positioning unit associated with the vehicle to generate position data and time data; a recording device to store at least one of the following: at least a portion of the video data, at least a portion of the position data, at least a portion of the time data, or any combination thereof; and a controller to: (i) receive the video data, the position data, and/or the time data; and (ii) determine track data based at least in part upon the video data, the position data, and/or the time data. A computer-implemented track data determination method is also disclosed.

A method of monitoring a track using train cars includes collecting first sensor data corresponding to a track location by a first sensor network on a first train car. Based on the first sensor data, a potential track anomaly at the track location is identified by a diagnostics system on the first train car. A message describing the anomaly is transmitted to diagnostics systems located on other train cars. The message is received by a second diagnostics system on a second train car located behind the first train car. The second diagnostics system determines a time at which the second train car will be passing over track location and, at the determined time, collects second sensor data. If the track anomaly is present in both the first sensor data and the second sensor data at the track location, a train control system is notified of the track anomaly.