A system and method for simulating positive train control (PTC) systems in a local and controlled environment using software and hardware. The system can simulate various functionalities of the PTC system in the environment using software and hardware components. The system can instruct the software of a train management computer (TMC) to control electromechanical valves to simulate air compression on brake pipes in response to the PTC system executing a penalty on the locomotive. The system can display statuses of various systems on the locomotive to a user using a cab display unit (CDU). The system can control the software and hardware components to simulate warnings and actions from the PTC system allowing locomotive engineers and conductors to experience the PTC system for optimum training.

A system and method for inspecting a railway track using sensors oriented at an oblique angle relative to a rail vehicle on which the system is traveling. The orientation of the sensors allows for different data to be gathered regarding a particular rail including rail design specifications (gathered based on manufacturer markings detected and analyzed by the system), rail seat abrasion values based on direct measurement of rails from the oblique angle, and other analysis of rail features including joint bars, rail welds, bond wires, rail holes, and broken rails. The use of an air blower, ducts, and one or more air distribution lids over the sensors helps remove debris from blocking the sensors and structured light generators.

A method and system for identification of obstacles near railways and for providing alarm to an operator of a train if obstacles constitute threat to the train are disclosed. The system comprise IR sensor disposed at the front of the train facing the direction of travel. The IR sensor receives images of the rails in front of the train. The system comprises pre-stored vibration profile of the train's engine that is used to eliminate influence of the engine's vibrations on the accuracy of the received images. Presence of rails in the received frames is detected based on inherent differences of temperature between the rails and the substrate in the rails' background, such as the railway sleepers and the materials underneath it. The system may detect defects in an electric conductor system of a train.

A signal-controlled crew warning system for warning people of approaching rail vehicles on an operational track located in a warning sector of a work track. The warning system includes a track-building machine for working on the work track, a positioning system for determining the position of the track-building machine, a computer-aided monitoring system for generating warning information, warning measures for generating acoustic or optical or haptic warning signals, and a radio system for wireless data transfer. The computer-aided monitoring system is configured to set boundaries of the warning sector on a basis of the current position of the track-building machine and to automatically generate warning information for the warning sector. The track-building machine has a central control unit for processing the warning information, which control unit is coupled to the computer-aided monitoring system via the radio system. The warning sector thus moves along with the track-building machine as it travels.

A method is provided that may include receiving a global navigation satellite system (GNSS) signal for a moving vehicle and obtaining a position estimation of the vehicle by inputting values of observable characteristics into an artificial intelligence (AI)-based model and receiving the position estimation as an output from the AI-based model. The AI-based model applies different coefficients to the values of the observable characteristics to output the position estimation. The method may also include calculating an error between a location derived from the GNSS signal that may be received and the position estimation obtained from the AI-based model, and changing one or more of the coefficients applied to the observable characteristics in the AI-based model based on the error that is calculated.

A method for determining a target geometry of a track for correcting the geometry of the track. An actual geometry of the track is detected first on a track section by a measuring system and the target geometry is calculated on the basis of the actual track geometry afterwards by way of a computing unit. Actual position points of the track are detected along the track section by a position detection system, with at least one actual position point being given to the computing unit as a point of restraint, and with the target geometry being calculated by the computing unit such that the target geometry is adapted to the actual geometry as a sequence of geometric track alignment design elements and is placed through the preset point of restraint. The method achieves a significant increase in quality compared to the known compensation method using pre-measurement.

A control system and method for a machine is disclosed. The control system may comprise a machine controller configured to activate autonomous remote operation of the machine based on parameters. The parameters may include a range, a set-point and an obstruction status, wherein the range is a distance from the machine to an operator.

An intersection management system and method for reducing or avoiding potential collisions between vehicles are provided. The system may use a wireless signal, with or without a circuit, to traverse an intersection. The system may use, at least in part, a positive vehicle control system.

Described herein are techniques for determining motion characteristics of trains traveling along a train track. In some embodiments, a processor may determine an estimated position of a train using an observed position obtained using one or more UWB antennas and an observed position obtained using one or more GNSS receivers. In some embodiments, a processor may access information specifying a geometry of a train track and determining the position of a train along the train track using an observed position determined using one or more UWB antennas and/or GNSS receiver(s) and the information specifying the geometry of the train track. In some embodiments, a processor may determine estimated positions of a train using the geometry of the train track and at least one observation of the train obtained using one or more positioning devices and select the position of the train from among the estimated positions.

Described herein are techniques for determining motion characteristics of trains traveling along a train track. In some embodiments, a processor may determine an estimated position of a train using an observed position obtained using one or more UWB antennas and an observed position obtained using one or more GNSS receivers. In some embodiments, a processor may access information specifying a geometry of a train track and determining the position of a train along the train track using an observed position determined using one or more UWB antennas and/or GNSS receiver(s) and the information specifying the geometry of the train track. In some embodiments, a processor may determine estimated positions of a train using the geometry of the train track and at least one observation of the train obtained using one or more positioning devices and select the position of the train from among the estimated positions.