A sensor-enabled geogrid system for and method of monitoring the health, condition, and/or status of pavement and vehicular infrastructure is disclosed. In some embodiments, the sensor-enabled geogrid system includes a sensor-enabled geogrid that further includes a geogrid holding an arrangement of one or more sensors. The sensor-enabled geogrid system further includes a communication means or network for collecting information and/or data from the sensor-enabled geogrid about the health, condition, and/or status of the pavement and vehicular infrastructure. Further, a method of using the presently disclosed sensor-enabled geogrid system for monitoring the health, condition, and/or status of pavement and vehicular infrastructure is provided.

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 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.

An imaging apparatus is mounted on a moving object and configured to capture an image while moving along a moving direction of the moving object. The imaging apparatus includes a sensor unit including a sensor substrate on which an image sensor is mounted, and a main unit including a main substrate on which an electronic component configured to process an output signal from the sensor substrate is mounted. The imaging apparatus further includes a heat dissipation fin configured to dissipate heat generated in at least one of the sensor unit and the main unit. The heat dissipation fin is provided in a direction substantially parallel to the moving direction.

A method for analyzing one or more conditions of a transportation pathway includes obtaining, using an imaging device of an inspection system, image data reproducible as a plurality of images of the transportation pathway, each of the plurality of images being reproducible as an image of a portion of the transportation pathway, each portion of the transportation pathway having an associated location along a length of the transportation pathway, analyzing, using one or more processors of the inspection system, the image data to determine a first plurality of metrics indicative of a condition of the transportation pathway at each of the associated locations, and generating a first graph, using the determined first plurality of metrics, that is indicative of the condition of the transportation pathway at each of the associated locations.

A system for dynamically adjusting a configuration of an intra-train communication network includes an electronic device and a computer-readable storage medium. The computer-readable storage medium has one or more programming instructions that, when executed, cause the electronic device to receive one or more parameters values associated with a train consist, determine whether a potentially adverse condition that would affect intra-train communication for the train consist is anticipated based on at least a portion of the received parameters, in response to determining that the potentially adverse condition is anticipated, identify one or more updated network parameter settings that will assist in maintaining intra-train communication of the train consist during an occurrence of the potentially adverse condition by executing a machine learning model, and implement the identified one or more updated network parameter settings.

A deployable measurement system for analyzing a rail of a railroad track includes a housing, a reflecting assembly coupled to the housing, a movement assembly coupled to the housing, and an optical measurement system disposed within the housing. Both the housing and the reflecting assembly are moveable between a stored position and a deployed position. The movement assembly includes a deployment assembly that moves the reflecting assembly from the stored position to the deployed position, and a retraction assembly that moves the reflecting assembly from the deployed position to the stored position. The optical measurement system emits and receives light. The reflecting assembly reflects the emitted light toward the rail. The reflecting assembly reflects light reflected off of the rail toward the optical measurement system. The light received by the optical measurement system is used to measure parameters related to the rail.

The disclosure is directed to a method. The method comprises a data storing step that comprises storing data relating to a represented railway infrastructure system by a data processing system. The method further comprises a condition monitoring step that comprises estimating at least one condition of the represented railway infrastructure system at least by evaluating a set of monitoring models by the data processing system. The method further comprises a predicting step that comprises predicting at least one condition of said represented railway infrastructure system at least by evaluating a set of prediction models by the data processing system, and at least one model evaluation step that comprises evaluating at least one model of at least one condition of at least a portion of the represented railway infrastructure system by the data processing system. The represented railway infrastructure system comprises at least one component and at least one asset. The disclosure is further directed to a corresponding system and a corresponding computer program product.

The present disclosure generally relates to automated detection of railroad track features. Images of a railroad track are captured and analyzed to identify track features such as anchors, spikes, rail ties, tie plates, and joints. Various image processing techniques are utilized to accurately distinguish between track features and other objects in the captured images. Track features identified in the images are assigned identifiers and locations and stored in a database so that a status and/or condition of the track features may be monitored for maintenance purposes.

A method and system are for estimating forces in rails of a railway line which are due to the temperatures of the rails. Values of the electrical resistance of one rail of a railway track section are calculated. Based on the calculated values of the electrical resistance for the rail, corresponding values of the temperature of the rail can be estimated, and based on the estimated values of the temperature of the rail, estimated values of forces acting in the rail due to the temperature values can be estimated.