A rail flaw detector is configured for locating flaws in rails of a railroad track and for use with a vehicle travelling on the railroad track. The detector includes at least one signal applicator configured for applying ultrasonic signals to the rail and for receiving return signals; a mechanical subsystem connected to the applicator and to the vehicle and configured for maintaining the at least one signal applicator in operational position on the track. A human-machine interface is connected to the at least one signal applicator, is configured to control the detector and to monitor sensed rail condition. In one embodiment, the human-machine interface includes a schematic display of the rail being monitored and at least one touch screen control for controlling the mechanical subsystem and the at least one signal applicator.

A track monitoring system (and a method thereof) for mounting to a vehicle on a track comprising at least one rail is provided. The track monitoring system comprises a position and attitude measurement unit configured to determine a geographical position and attitude of the system during at least one pass of the vehicle on the track, a storage medium for storing track geometry data, a laser imaging and/or scanning unit configured to determine a position of the at least one rail relative to the track monitoring system, and a position of the at least one rail and surroundings relative to the track monitoring system during the at least one pass, a processor configured to determine, in the at least one pass, a first geographically referenced rail position based on the geographical position and attitude of the rail monitoring system and the position of the at least one rail relative to the system, determine, in the at least one pass, a second geographically referenced rail position based on the geographical position and attitude of the rail monitoring system and the position of the at least one rail and surroundings relative to the rail monitoring system, determine a third geographically referenced rail position based on the first and the second geographically referenced rail positions, and corresponding geographically referenced track geometry data, acquire, in a further pass, track geometry data associated with each position of the rail relative to the rail monitoring system, and the output of the position and attitude measurement unit, update, based on the third geographically referenced position of the rail, the track geometry data acquired in the further pass, and store updated track geometry data to the storage medium.

In an example, the autonomous vehicle (“AV”) can be configured among the other vehicles and railway to communicate with a rider on a peer to peer basis to pick up the rider on demand from a location on a track, like a railway, tram or other track, rather than the rider being held hostage to a fixed railway schedule. The rider can have an application on his/her cell phone, which tracks each of the AVs, and contact them using the application on the cell phone. In an example, the AV is configured for both on-track and off track operation with different operating parameters for on-track and off track, including speed, degree of autonomy, sensors used etc.

Rail vehicle (1) having rail wheels (3,4) accommodated to guide the rail vehicle along a railway track (2) and said vehicle comprising means for detection of a flaw or flaws in the railway track, wherein the rail vehicle is provided with a noncontact vibrometer (9,10) which is arranged to measure vibrational movement of the railway track surface.

A railroad monitoring system according to the present disclosure includes a cable (20) including a communication optical fiber being laid on a railroad (10), a reception unit (331) configured to receive an optical signal from at least one communication optical fiber included in the cable (20), and a detection unit (332) configured to detect a pattern according to a state of the railroad (10), based on the optical signal, and detect an abnormal state of the railroad (10), based on the detected pattern according to the state of the railroad (10).

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.

The vehicle including an active suspension system (22) parameterized by a set of adjustment parameters. The railway track is cut into segments. For each segment (T), the method includes campaigns for optimization of the set of parameters, such that: during the first campaign, to each passage of the suspension system (22) on the segment (T), a first set of parameters, specific to this passage, is predefined and applied to the suspension system (22), and a comfort quality index is calculated, and then a metaheuristic algorithm is applied for determining second sets of parameters, and during each following optimization campaign, at each passage of the suspension system over the segment, one of the determined sets of parameters by the previous optimization campaign is applied to the suspension system, and the comfort quality index is calculated, and then the metaheuristic algorithm is applied in order to determine new sets of parameters.

A method for determining an actual geometry of a track by a track inspection vehicle which is movable on the track, wherein reference points positioned in a lateral environment of the track are automatically recorded by a non-contacting recording system arranged on the track inspection vehicle and their respective actual distance from the track is determined. A three-dimensional trajectory of the track is recorded by an inertial measuring system arranged on the track inspection vehicle, wherein the trajectory is divided by a computing unit into trajectory sections each having a section starting point related to a first reference point and a section end point related to a second reference point, wherein a virtual longitudinal chord is defined for each trajectory section in relation to the assigned reference points, and wherein actual distances between the trajectory and the respectively defined longitudinal chord are calculated for each trajectory section.

The method and device to ensure a safety of people's life and health is based on measurements of spontaneous electromagnetic radiation caused by a deformation from a structure or device, a nucleation and growth of plant cells and living organisms; calculating an energy stored in a portion of the structure or cells based on a measured intensity; performing a comparison of the energy stored with a critical value for the structure and pathological changes in the cells; and indicate a potential failure of the structure or a level of pathological changes based on the performed comparison.

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.