A system for analyzing a railroad track comprises a transport device, a camera coupled to the transport device, an electronic display device, a memory device, and one or more processors. The camera is disposed adjacent to a rail of the railroad track and generates image data reproducible as one or more images of at least a portion of a surface of the rail. The processors can produce an image of the rail surface, which includes a plurality of elongated portions. The image is analyzed to identify any defects that exist within each elongated portion of the rail surface. The processors determine a value of a metric for each elongated portion of the rail surface. The metric is associated with the identified defects. The electronic display device displays a graph indicative of the metric for each elongated portion, the image of the rail surface, or both.

An aspect includes a vehicle that includes rail inspection sensors configured for capturing transducer data describing the rail, and a processor configured for receiving and processing the transducer data in near-real time to determine whether the captured transducer data identifies a suspected rail flaw. The processing includes inputting the captured transducer data to a machine learning system that has been trained to identify patterns in transducer data that indicate rail flaws. The processing also includes receiving an output from the machine learning system, the output indicating whether the captured transducer data identifies a suspected rail flaw. An alert is transmitted to an operator of the vehicle based at least in part on the output indicating that the captured transducer data identifies a suspected rail flaw. The alert includes a location of the suspected rail flaw and instructs the operator to stop the vehicle and to perform a repair action.

A monitoring method and system monitor a transmitted current that is injected into conductive components of a route traveled by vehicle systems, monitor a received current that represents a portion of the transmitted current that is conducted through the conductive components of the route, examine changes in the transmitted and/or received current over time to determine when the vehicle systems are on the route between a first location where the transmitted current is injected into the conductive components and a second location where the received current is monitored, and examine the changes in the transmitted and/or received currents. The changes are examined to identify (a) a contaminated portion of a surface on which the route is disposed, (b) a foreign object other than the vehicle systems that is contacting the route, and/or (c) a damaged or broken portion of at least one of the conductive components of the route.

The present invention relates to a system and method for traffic control in railways. The present invention also relates to a corresponding use. The present invention is particularly directed to the computation and prediction of optimal routes for a plurality of trains, and the optimization of train tracks capacity. The method comprises controlling traffic in railways, the method comprising sampling sensor data relevant to railway system via at least one sensor (200) and using at least one server (500) for receiving the sensor data from the at least one sensor (200), predicting the status of the railway infrastructure based on future rolling stock; and controlling the traffic of rolling stock on the basis of the future status.

This invention utilizes two sensing technologies in combination with or in isolation of an automated inspection vehicle to conduct inspections of internal rail flaws in steel railroad track. A vehicle equipped with X-radiation sensing is used as a secondary method to assess the deviations in magnetic fields that are sensed by a primary sensor consisting of a single or multiple magnetometers. The magnetometers sense changes in magnetic field that are correlated to the flaws inside the steel rail. The combination of technologies improves the probability to detect railroad flaws and offers the ability to accurately track and monitor flaws.

A system for analyzing a railroad track comprises a transport device, a camera coupled to the transport device, an electronic display device, a memory device, and one or more processors. The camera is disposed adjacent to a rail of the railroad track and generates image data reproducible as one or more images of at least a portion of a surface of the rail. The processors can produce an image of the rail surface, which includes a plurality of elongated portions. The image is analyzed to identify any defects that exist within each elongated portion of the rail surface. The processors determine a value of a metric for each elongated portion of the rail surface. The metric is associated with the identified defects. The electronic display device displays a graph indicative of the metric for each elongated portion, the image of the rail surface, or both.

Methods of non-destructive rail analysis and evaluation for railroad tracks are provided. The methods can include capturing images of rails over time and at various temperatures. High-contrast patterns can be applied to or associated with a rail to facilitate image analysis. Rail neutral temperature (RNT), stress, strain, and curvature of the track can be determined using image correlation and regression analysis. A stereovision system may be used for rail neutral temperature measurements and for determining effects of a heating method. A non-contacting, nondestructive methodology for RNT and longitudinal rail stress measurements is based on stereo vision image acquisition and Digital Image Correlation (DIC) for acquiring the full field shape, deformation, and strain measurements taken during a thermal cycle. The thermal cycle can be natural or induced.

A system and method for monitoring a track and/or rail employs one or more distance measuring imagers mounted to a railcar and directed to image the track and/or rails wherein the images are geo-tagged with location data. Geo-tagged distance measurements are processed to determine at least track gauge and/or at least rail fastener integrity. The system and method may also determine other track and/or rail integrity issues including, e.g., rail profile, rail alignment, center point dip, cross level, rail cant, wheel wear, wheel integrity, rail wear, rail defects, and/or rail temperature. The system and method may also determine when inspection and/or maintenance of the track is indicated, and provide selected records of where and/or when such inspection and/or maintenance is indicated.

A rail state monitoring apparatus (1) includes: first and second transmission antennas (101, 102) to transmit first and second electric signals to rails (5, 6), respectively; first reception antenna (201) to receive a surface wave (21) of the first electric signal propagated through rail (5) and guided wave (32) of the second electric signal propagated through loop coil (10); second reception antenna (202) to receive surface wave (22) of the second electric signal propagated through rail (6) and guided wave (31) of the first electric signal propagated through loop coil (10); and a processor. The processor obtains received powers of the respective electric signals received by first and second reception antennas (201, 202), determines a rail state from “good”, “rail broken”, “rail crack”, or “rail surface anomaly” based on the received powers, and outputs the rail state as rail state information.

A route examination system determines a characteristic of a vehicle system traveling over a segment of a route under inspection, a characteristic of the route, and/or a characteristic of movement of the vehicle system over the segment of the route. The system also detects acoustic sounds generated by movement of the vehicle system over the segment of the route. The system selects a baseline signature representative of acoustic sounds generated by movement of the vehicle system or another vehicle system over a healthy segment of the route, and determines that the segment of the route under inspection is damaged based on a comparison between the baseline signature and the acoustic sounds generated by the movement of the vehicle system over the segment of the route under inspection.