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.

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.

A method for geolocating an interference source in a communication-based transport system, wherein the communication-based transport system comprises: —a plurality of interference sources, distributed in a space and respectively emitting signal, —a vehicle, moving along a known trajectory, receiving the signal from the interference sources, and measuring the signal strength of the signal of only one interference source at a time instance; the method comprising: —separating the interference sources by clustering the signal strength of the signal with a clustering method; —estimating the locations of the interference sources in the space based on the separated interference sources.

A condition monitoring system for bearing units for vehicles, the system including at least one condition monitoring unit for measuring at least one operating parameter of one bearing unit and a control unit for receiving and processing signals obtained from the condition monitoring unit. The system additionally includes a circuit for detecting a geographic position, wherein the condition monitoring unit is configured to be at least one of activated and deactivated depending on the detected geographic position.

A condition monitoring system for bearing units for vehicles, the system including at least one condition monitoring unit for measuring at least one operating parameter of one bearing unit and a control unit for receiving and processing signals obtained from the condition monitoring unit. The system additionally includes a circuit for detecting a geographic position, wherein the condition monitoring unit is configured to be at least one of activated and deactivated depending on the detected geographic position.

In one embodiment, a method includes receiving first Light Detection and Ranging (LiDAR) data associated with a railroad environment, extracting an asset from the first LiDAR data associated with the railroad environment, and superimposing the asset into a spatial model. The method also includes receiving a field indication associated with a modification to the railroad environment and modifying the spatial model in response to receiving the field indication associated with the modification to the railroad environment. The method further includes receiving second LiDAR data associated with the railroad environment and comparing the second LiDAR data to the modified spatial model.

In one embodiment, a method includes receiving first Light Detection and Ranging (LiDAR) data associated with a railroad environment, extracting an asset from the first LiDAR data associated with the railroad environment, and superimposing the asset into a spatial model. The method also includes receiving a field indication associated with a modification to the railroad environment and modifying the spatial model in response to receiving the field indication associated with the modification to the railroad environment. The method further includes receiving second LiDAR data associated with the railroad environment and comparing the second LiDAR data to the modified spatial model.

A train simulator test set is disclosed that can be operably coupled to a railroad track to measure the resting impedance of that track circuit and simulate a train by varying the railroad track inductance over a set period of time. The test set can select the speed, direction, and number of trains to simulate. By applying a variable inductance on the railroad tracks, the test set can simulate a train moving at variable speeds toward and away from the island. The test set can apply inductances to the railroad tracks to simulate two or more trains moving in each direction of the tracks at the same time, along with multiple looks and routes. The train simulator test set can include simulation software to vary the parameters of the train simulation and couple a variable inductance on the railroad tracks.

A train simulator test set is disclosed that can be operably coupled to a railroad track to measure the resting impedance of that track circuit and simulate a train by varying the railroad track inductance over a set period of time. The test set can select the speed, direction, and number of trains to simulate. By applying a variable inductance on the railroad tracks, the test set can simulate a train moving at variable speeds toward and away from the island. The test set can apply inductances to the railroad tracks to simulate two or more trains moving in each direction of the tracks at the same time, along with multiple looks and routes. The train simulator test set can include simulation software to vary the parameters of the train simulation and couple a variable inductance on the railroad tracks.

In one embodiment, a method includes receiving first Light Detection and Ranging (LiDAR) data associated with a railroad environment, extracting an asset from the first LiDAR data associated with the railroad environment, and superimposing the asset into a spatial model. The method also includes receiving a field indication associated with a modification to the railroad environment and modifying the spatial model in response to receiving the field indication associated with the modification to the railroad environment. The method further includes receiving second LiDAR data associated with the railroad environment and comparing the second LiDAR data to the modified spatial model.