Various embodiments of an autonomous rail vehicle that can travel ahead of a locomotive at a distance proportional to the locomotive's stopping capability are disclosed. The rail vehicle may scan its surroundings, gauges track conditions, and communicates with locomotive operators of the scanned results in real-time to timely enable activation of the locomotive's emergency brakes in case of detection of off-normal track conditions. The rail vehicle may paired with the locomotive and provides eyes to locomotive operators so that they can have information on tracks viability well ahead of the locomotive.

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.

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 method for analyzing one or more conditions of a transportation pathway includes obtaining, using an imaging device of an inspection system, image data reproducible as a plurality of images of the transportation pathway, each of the plurality of images being reproducible as an image of a portion of the transportation pathway, each portion of the transportation pathway having an associated location along a length of the transportation pathway, analyzing, using one or more processors of the inspection system, the image data to determine a first plurality of metrics indicative of a condition of the transportation pathway at each of the associated locations, and generating a first graph, using the determined first plurality of metrics, that is indicative of the condition of the transportation pathway at each of the associated locations.

A railway vehicle is provided with a pantograph movable under the action of a moving device between a raised position, in which it is able to cooperate in contact, in use, with a catenary conductor cable for drawing electrical energy, and a lowered position, in which it is lower than the height where, in use, such catenary is provided; the vehicle is provided with a battery pack and a control system for controlling the moving device and therefore lowering/raising the pantograph; the control system has a microprocessor control unit configured to control the moving device in response to signals containing information indicative of the actual position of the vehicle, and/or indicative of the presence or absence of the conductor cable in the vicinity of the vehicle.

According to one embodiment, a damaged region determination system of the embodiment includes a plurality of sensors, a position locator, and a determiner. The plurality of sensors detects elastic waves generated in a target object related to a railway which is a determination target of a damaged region. The position locator locates positions of sources of a plurality of elastic waves based on the plurality of elastic waves detected by each of the plurality of sensors. The determiner determines the damaged region in the target object based on the positions of the sources of the plurality of elastic waves.

An obstacle detection device includes: a sensor unit including a camera, a laser distance measuring device, and an optical element, and setting optical axes of the camera and the laser distance measuring device to an optical axis in the same direction using the optical element; a monitoring area control unit calculating a monitoring area to be monitored by the sensor unit using a position of a train, map information indicating a position of a track of the train, and an attitude angle of the train, and performing control to cause a direction of the optical axis of the sensor unit to be on a course of the train using a drive mirror; and an obstacle determination unit detecting an obstacle on the course of the train based on monitoring results of the camera and the laser distance measuring device, and determining whether a collision avoidance action is necessary.

A system includes one or more processors. The one or more processors are configured to receive crossing obstruction information from an optical sensor disposed proximate a crossing of a route traversed by a vehicle, with the crossing obstruction information indicating a presence of an obstruction to the crossing; obtain position information indicating a position of the vehicle traversing the route; determine proximity information of the vehicle indicating proximity of the vehicle to the crossing using the position information; determine a presence or absence of an alert state indicating a potential of the crossing being obstructed using the crossing obstruction information and the proximity information; and perform a responsive activity based responsive to a determination of the presence of the alert state.

An on-board thermal track misalignment detection system method therefor is presented. The system can use on-board locomotive sensors attached to an end-of-train device to detect (on the edge), signs and symptoms of thermal misalignments of the track. Once detected an alert can be transmitted to prevent potential derailments. The system can also include a forward-facing and rearward-facing imaging sensors (e.g., camera, LiDAR sensor, etc). The system can wirelessly communicate (e.g., via radio) with a leading locomotive to ensure proper air pressure and location. The system can be powered by an on-board battery and/or air pressure device. Advantageously, the system can calculate whether any rail deviation is significant (e.g., via one or more threshold values). The system can also leverage image processing functionality, executed by one or more processors) to find the centerline and the distance between the tracks.

A rail-guided permanent way machine is operated by means of a control device in such a way that at least one state variable (Z) of the permanent way machine is determined in dependence on an operating state, and the at least one state variable is compared to at least one pre-defined limit value (G.sub.W, G.sub.S) for monitoring a derailment safety of the permanent way machine. Thus, the derailment safety of the permanent way machine is determined in accordance with the current operating state and monitored. As a result, the permanent way machine has an expanded operating range and increased performance and thus increased efficiency.