The present disclosure provides a hypertube system for detecting a position of a hypertube vehicle, including a hypertube vehicle, a tube configured to surround a travel path of the hypertube vehicle, At least one LiDAR sensor each mounted on an inner wall of the tube and including a laser transmitter configured to irradiate a laser beam toward the hypertube vehicle and a laser receiver configured to detect a laser, and a reflector configured to reflect the laser irradiated from the LiDAR sensor, wherein the reflector may be disposed in the hypertube vehicle, and wherein the laser beam reflected from the reflector reaches the laser receiver of the LiDAR sensor to be used in detecting the position of the hypertube vehicle.

A system and method for providing a proximity alert information form a locomotive directly to a device usable by wayside personnel or vehicles thereby alerting the personnel of an approaching locomotive. The proximity alert is facilitated by current PTC and ITCM messaging infrastructure, or is retrofittable to non-PTC equipped locomotives.

A system and a method automatically detect whether a vehicle entering a track section of a railway network is shorter than a predefined length. The method includes detecting at a time T0 an entry of the vehicle on a first track subsection. From the time T0, the occupancy states of at least a first subsection and a third subsection are determined in dependence on the time. The occupancy state is either “occupied” or “free”. The occupancy states for at least first and third subsections is reported to an evaluation unit at least until the occupancy state of the first subsection is “free”. The reported occupancy states determined for the at least first and third subsections are processed by the evaluation unit, and from a temporal evolution of the occupancy states of the first and third subsections, it is determined whether the entering vehicle is shorter than the predefined length.

A track sensor arrangement consists of a wheel sensor (1), a detachable connection assembly (2) and a track holder (3). The detachable connection assembly (2) consists of a supply cable (4) and a plug (5) provided with an electric plug connection (6B). The track holder (3) consists of a support (7) and of connection elements (8). Inside the body (9) of the plug (5) an assembly compartment (10) is formed. The body (9) of the plug (5) is slidingly fitted on the support (7), wherein on the body (9) of the plug (5) a mounting clamp (11) is slidingly fitted. The mounting clamp (11) is fastened to the support (7) by means of a screw connection (12).

The present invention provides a method for determining an element characteristic of at least one railroad element, comprising the steps of: providing a motion sensor (2) on the at least one railroad element (6); collecting motion data provided by the motion sensor (2), wherein the motion data is representing a motion characteristic of the railroad element (6) different from the element characteristic; determining the element characteristic on the basis of the motion data.

System (1) for detecting events or situations having associated patterns of acoustic vibrations in a train rail (2), which comprises a vibration detector unit (3) provided with an acoustic sensor (31) and attached to the rail (2) that can sense the acoustic vibrations transmitted through the rail (2) and a main assembly (4) connected to the vibration detector unit (3), wherein the vibration detector unit (3) comprises a processor (32) and the main assembly (4) comprises a control unit (41), the processor (32) comprising stored patterns corresponding to known events, the processor (32) being configured to preprocess the vibrations transmitted to the rail (2), to determine if the vibrations correspond to a stored pattern and, if the vibrations correspond to a stored pattern, send to the control unit (41) a signal associated to the event. The invention also refers to the vibration detector unit (3) itself.

A system and method for virtual block stick circuits is presented. The present disclosure implements specialized algorithms adapted to determine the true status of a virtual block based on multiple inputs from different perspectives. In one embodiment, the system can use the far house perspective of that virtual track segment and the PTC hazard for the near virtual track segment directly adjacent to the near house uses the near house perspective of that virtual track segment. For the middle virtual track segments, the near house perspectives of the middle virtual track segments are held ‘TRUE’ if they are already ‘TRUE’ when the train first enters the block, using stick circuits for the near house perspective of the middle track circuits. The vital application can then indicate the true state of the virtual track segment as occupied (FALSE), to protect the train from trains that follow.

A monitoring unit for monitoring a linear asset includes a connection to a data output of a distributed sensor arranged along the linear asset, where the linear asset has a length which is different from the length of the distributed sensor, and a processing unit which is configured to receive a data signal provided by the distributed sensor, to apply a transfer function, to evaluate the data signal and to provide a tracking output signal. Evaluating the data signal includes running an evaluation algorithm, the transfer function is applied to the data signal or to the evaluation algorithm, and by applying the transfer function, the data signal or the evaluation algorithm is normalized. Furthermore, a method for monitoring a linear asset is provided.

A particularly flexible method for automatically calibrating a wheel sensor includes using the wheel sensor to determine that a calibration must be carried out. The wheel sensor determines a point in time suitable for carrying out the calibration and the calibration itself is carried out by the wheel sensor at the determined point in time. A wheel sensor for carrying out the method is also provided.

A particularly flexible method for automatically calibrating a wheel sensor includes using the wheel sensor to determine that a calibration must be carried out. The wheel sensor determines a point in time suitable for carrying out the calibration and the calibration itself is carried out by the wheel sensor at the determined point in time. A wheel sensor for carrying out the method is also provided.