A degradation estimation system includes a processing unit simulating an operation mode of equipment on a corresponding railroad section at each set-up timing based on corresponding railroad section timetable information, and processing respective simulation results, and an estimation unit aggregating respective processing results of the processing unit. The processing unit simulates a travel transition of each training existing in the corresponding railroad section timetable information as a dynamic of each train based on corresponding railroad section timetable information and a running curve, simulates a state change of each track circuit based on the simulation result and railroad track information, and simulates an operational change of the equipment on each track circuit. The estimation unit aggregates the simulation result of the processing unit indicating the operational change of the equipment disposed on each track circuit, and estimates the degradation of the equipment from the aggregation result.

A degradation estimation system includes a processing unit simulating an operation mode of equipment on a corresponding railroad section at each set-up timing based on corresponding railroad section timetable information, and processing respective simulation results, and an estimation unit aggregating respective processing results of the processing unit. The processing unit simulates a travel transition of each training existing in the corresponding railroad section timetable information as a dynamic of each train based on corresponding railroad section timetable information and a running curve, simulates a state change of each track circuit based on the simulation result and railroad track information, and simulates an operational change of the equipment on each track circuit. The estimation unit aggregates the simulation result of the processing unit indicating the operational change of the equipment disposed on each track circuit, and estimates the degradation of the equipment from the aggregation result.

In one embodiment, a railroad scout vehicle system includes a scout vehicle and a processing unit. The scout vehicle may include at least two wheels configured to engage a set of railroad tracks, a motor mechanically coupled to at least one of the wheels, a speed controller, an electromagnetic sensor aimed at the set of railroad tracks, a positioning receiver, a local speed sensing device and a transceiver. The speed controller may be coupled to the motor and configured to control the speed of the scout vehicle in order to maintain an appropriate distance between the scout vehicle and a train traveling behind. The processing unit may be configured to transmit the track status information via the transceiver, receive train speed and position signals from the train via the transceiver.

Methods and apparatus for real time machine vision and point-cloud data analysis are provided, for remote sensing and vehicle control. Point cloud data can be analyzed via scalable, centralized, cloud computing systems for extraction of asset information and generation of semantic maps. Machine learning components can optimize data analysis mechanisms to improve asset and feature extraction from sensor data. Optimized data analysis mechanisms can be downloaded to vehicles for use in on-board systems analyzing vehicle sensor data. Semantic map data can be used locally in vehicles, along with onboard sensors, to derive precise vehicle localization and provide input to vehicle to control systems.

A method for maintenance of a permanent way, roadway or travel path for rail vehicles includes determining the actual condition of the permanent way by using a measuring system to record measurement data. Objects along the permanent way are detected from the measurement data by using an evaluation device. A detected object is assigned to an object class, and at least one object class identification linked with positional data is stored in a database for a detected object. The actual condition of the permanent way is thus stored in an object-based manner, and a comparison with a target condition or with historic actual conditions is used for the planning and execution of maintenance measures. A maintenance system for executing the method is also provided.

A event recorder system carried on-board a locomotive may include a controller configured to receive data from one or more of a train management system, a cab signaling system, an energy management system, an exhaust aftertreatment monitoring system, a braking system, a communications management system, and an operator fatigue or distraction monitoring system. The data may include one or more of video data, audio data, sensor output data, GPS map data, scanned image data of an operator in a cab of the locomotive, and operational data associated with operation of the locomotive during a trip. The controller may be configured to synchronize the data based on a common attribute associated with all of the data received by the controller, receive from a user one or more customizable parameters predetermined to be indicative of one or more of a system-related characteristic or behavior associated with any one or more of the systems from which the controller receives data, and generate a system notification based on an indication of one or more of a system-related characteristic or behavior that one of falls outside of a predetermined range of system-determinable parameters, or indicates a trend in one or more system-determinable parameters that deviates from an expected trend in the one or more system-determinable parameters.

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 measuring system comprising a fixed measurement unit (101), a data processing unit (130) and a mobile unit (120). The mobile unit comprises a planar base (111), a reflector (118), an elevation element (119) fixed to the base and the reflector, and attaching the reflector to a fixed position in respect of the base. The mobile unit comprises also mobility means (112) for moving the base along a surface (113) such that the spatial orientation of the base (114) substantially corresponds with the spatial orientation of the currently underlying part of the surface. In addition the mobile unit comprises tilt measuring means (123) for determining a deviation between the spatial orientation of the base and a plane perpendicular to the ambient gravitational force, and tilt elimination means for eliminating the effect of the determined deviation. Measurement results are thus more accurate.

Disclosed is a gradient information acquisition method comprising: a speed measured value acquisition step in which a measured value of the speed of a rail vehicle is acquired; a speed calculation step in which a calculated value of the speed of said vehicle is found using an equation of movement including a parameter indicating the gradient of the path of travel of said rail vehicle; a parameter value acquisition step in which a parameter value is found of a function indicating said gradient, for which parameter the difference of said measured value of the speed and said calculated value of the speed is a minimum; and a gradient information acquisition step of finding the gradient of said path of travel, based on the parameter value of the function indicating said gradient that was acquired in said parameter value acquisition step.

An anti-collision system for railcars and locomotives and, more particularly, to a distance ranging and worker coupling protection system utilizes remote-sensing radar techniques for use with a locomotive and railcar. The anti-collision system may include an object detector device attached to a railcar or a locomotive that detects objects in a path of the railcar and the locomotive and a train display device electrically connected to the object detector device. The anti-collision system may also include an emergency action device which enables a crew member to stop the railcar or locomotive without communication to a locomotive operator when a hazard is recognized. The object detector device may include a remote sensor, a radio, and a microprocessor programmed to include data-logging to record and log all data from the anti-collision system.