A suspension system for a railway vehicle includes a hub assembly configured to travel along a track, a suspension element coupled to the hub assembly and configured to provide a suspension force, a regulator coupled to the suspension element and configured to selectively adjust the suspension element, and a processing circuit. The processing circuit is configured to determine a target configuration for the suspension element using a characteristic of the track at a target position, the target position selected based on a location of the railway vehicle, and engage the regulator based on the target configuration such that the suspension force applied by the suspension element is based on the location of the railway vehicle and the characteristic of the track.

Techniques are disclosed for detecting and reporting railroad track anomalies. In one embodiment, a track inspection application is configured to receive images (or other sensor data) depicting a railroad track captured by cameras mounted on a train, compare the captured images with corresponding reference images (or other sensor data) captured from substantially the same locations and vantage points, and detect anomalies in the railroad track represented by differences between the captured images and corresponding reference images. In another embodiment, the inspection application may generate a three-dimensional (3D) model of the railroad track based on depths determined through, e.g., triangulation, and determine the railroad track's geometry from the 3D model. The inspection application may then detect anomalies associated with the track geometry, such as an incorrect distance between track rails or an incorrect overall location of the track, based on differences between the determined track geometry and a stored track geometry.

A monitoring and warning system is provided that measures a track displacement as an indication of an operational condition of railway tracks and a rail track structure. The system comprises a sensor and a device coupled to the sensor. In response to a physical measurement of a vertical displacement of a railway track in a down direction by the sensor, the device is configured to provide a warning signal indicative of a possible future failure of the railway track or the rail track structure for proactive track maintenance purposes.

A railroad track inspection system has multiple track scanning sensors, a data store, and a scan data processor. The scan data processor provides automatic analysis of the track scan data to detect track components within the scan data from a predetermined list of component types according to features identified in said scan data. The track scanning sensors, data store and scan data processor are attached to a common support structure for mounting the system to a railway vehicle in use. An inertia sensor and common master clock are used to make corrections to the output of the track scanning sensors to accommodate dynamic forces in use. The inspection system may be provided in a single housing for mounting to a conventional passenger/freight rail vehicles and may operate automatically in an unattended mode. The location of track components and/or defects may be logged.

A method for measuring and displaying the track geometry of a track system uses a track-driveable permanent-way machine, comprising a control measurement system measuring the track position to be corrected before a lifting and lining device, an acceptance measurement system measuring the corrected track position after it, and output units displaying the measured values. The lifting and lining device is controlled depending on the measured values of the control measurement system and the acceptance measurement system to achieve a specified target track geometry. A three-dimensional position image is calculated from the curvature image (k.sub.(s)), longitudinal level image (h.sub.(s)) and superelevation image (u.sub.(s)) of the target track geometry, put into a perspective display, and displayed by the output unit, supplemented by measured error curves for track parameters of track direction, superelevation, twist, and longitudinal level.

A system and method for automating railroad maintenance for a tie gang using electronic tie marking (ETM) configured to optimize railroad asset maintenance. The system enables the automating of an adaptive maintenance process for the asset that is being maintainanced. The system can identify a railroad asset scheduled for maintenance using various forms of inspection including real-time kinematic (RTK)-corrected GPS data, radar signal processing data, and real-time imaging. The system also provides for the acquisition and upload of asset pictures for verification and analysis of a railroad asset. The system can identify a next location to perform maintenance and can calculate an optimum path based on sensor input incorporating machine-specific and environmental characteristics. The system further can provide a customizable user interface to identify, track, and process information related to maintenance of the railroad asset.

A Railroad Tie Management System is disclosed that can provide an efficient and organized method of inspecting and auditing ties in a rail system. Tie mark files can be retrieved by a client from a server or database in operable communication with the client, and upon instantiation of an inspection process governed by the system, an inspection information table and tie grid can be generated. The tie grid can operable to receive commands from a user, and the inspection information table is operable to automatically increment and decrement fields contained within in response to changes within the tie grid. The tie grid can also be configured to incorporate data from tie scans and serve the data to the client in a useful and user-friendly manner.

Apparatus and methods for determining ground stability measurements utilising active sources. In an example a distributed optical sensor detects stains along a length of a railway line. One or more trains provide active sources. The static strain before and after passage of the active source is utilised to determine ground stability. Measurements may be normalised based on characteristics of the active source.

The present application involves a railroad track asset surveying system comprising an image capture sensor, a location determining system, and an image processor. The image capture sensor is mounted to a railroad vehicle. The location determining system holds images captured by the image capture sensor. The image processor includes an asset classifier and an asset status analyzer. The asset classifier detects an asset in one or more captured images and classifies the detected asset by assigning an asset type to the detected asset from a predetermined list of asset types according to one or more features in the captured image. The asset status analyzer identifies an asset status characteristic and compares the identified status characteristic to a predetermined asset characteristic so as to evaluate a deviation therefrom.

Examples relate to digital context aware (DCA) data collection. In some examples, a DCA start location component is positioned at a first location along a travel route, and a DCA end location component is positioned at a second location along the travel route. In response to using a wireless interface to detect the DCA start location component, data collection of measurements by a sensor are initiated. In response to using the wireless interface to detect the DCA end location component, the data collection by the sensor is halted.