A method for monitoring a track line by way of a monitoring device which is connected to a sensor extending along the track line. The sensor which is set in vibration delivers measurement data for the monitoring device. A rail vehicle travels on the track line, during which vibrations having known vibration values are introduced into the track line and transmitted to the sensor. Position data of the rail vehicle are recorded and an evaluation device derives a characteristic of the vibration transmission from the vibration values, the position data, and the measurement data for the track line. In this manner, a calibration of the system takes place with only a single run on the track line.

A system for providing security to a railway system, the system comprising: a data monitoring and processing hub; a network comprising a plurality of data collection agents synchronized to a same network clock and configured to monitor railway infrastructure devices and onboard devices of rolling stock having a train communication network (TCN), train to wayside communications (such as GSM-R) and forward monitored data to the hub for processing by the hub to detect anomalies in railway operation that are indicative of a cyber-attack; wherein an agent of the plurality of data collection agents monitoring an onboard device connected to the TCN of a given rolling stock receives signals propagated to or from the device via the TCN and forwards to the hub data based on a given received signal together with a time stamp comprising a network clock time at which the given received signal is received by the agent.

A train control system may include a data acquisition hub connected to a database and sensors associated with one or more locomotives, systems, or components of a train and configured to acquire data in association with inputs derived from contextual data relating to a plurality of trains being operated by experienced train engineers under a variety of different conditions and in different geographical areas for use as training data. A machine learning engine of the train control system may receive the training data from the data acquisition hub, encode a modified learning function as a statistical model of desirable train handling behavior, evaluate train handling behavior by comparing to the statistical model, and update a certification of one or more of a train engineer, a semi-autonomous control system, or a fully autonomous control system.

A signal aspect enforcement method for a rail vehicle includes determining if vehicle position is unknown. The system determines if rail vehicle speed is less than a line-of-sight threshold speed. The system determines the grade of the rail. A worst-case braking distance of rail vehicle is calculated. The signal aspect is determined using a camera system and a beacon system. The system determines if the signal aspect determined by camera system is same as signal aspect determined by beacon system and, if so, determines the route of rail vehicle and speed limit of rail vehicle.

A system for providing security to a railway system, the system comprising: a data monitoring and processing hub; a network comprising a plurality of data collection agents synchronized to a same network clock and configured to monitor railway infrastructure devices and onboard devices of rolling stock having a train communication network (TCN), train to wayside communications (such as GSM-R) and forward monitored data to the hub for processing by the hub to detect anomalies in railway operation that are indicative of a cyber-attack; wherein an agent of the plurality of data collection agents monitoring an onboard device connected to the TCN of a given rolling stock receives signals propagated to or from the device via the TCN and forwards to the hub data based on a given received signal together with a time stamp comprising a network clock time at which the given received signal is received by the agent.

A railroad crossing light detector system is disclosed. The system includes determining a first signal indicative of the amount of light emitted from an illuminated railroad crossing light source and determining a second signal indicative of the orientation of the crossing light. The first and second signals are transmitted to a signal determination module that compares the first and second signals to predetermined stored values. The compared signals are then provided to a railroad crossing controller for relaying to a central/remote monitoring location. In the event that at least one of the signals is out of range relative to the stored value, then an inspection request signal together with information on the location of the crossing light is provided to the central monitoring location. In this manner, the number of in-person inspections to the crossing light may be significantly reduced.

Enhanced transit location systems and methods are provided. A method comprises receiving, into a vehicle radio located on a vehicle traveling along a roadway, signals transmitted by wayside radios located along the roadway; and determining a location of the vehicle along the roadway based on the received signals.

A Wireless Slide Fence utilizing signal reflection technology to detect rockslides and can determine the size and location of fallen rocks/objects impeding travel along a train track is presented. The present disclosure solves the technological problem of determining rock size and location to validate rockslide/fall alarms to reduce false alarms, while minimizing repairs required by conventional systems through the use of obstacle detection units and vital logic controllers. The present disclosure improves the performance of the system by, generating validated alarms when fallen rocks/objects satisfy the size criteria and are located in an area hazardous to train operations. In one exemplary embodiment, a loitering time can be implemented to validate object detections to reduce false positives due to transient objects such as migrating animals.

A rail vehicle system, a rail vehicle, and a visual sensing device are provided. The rail vehicle system includes a system control device, a rail, and a rail vehicle. The rail vehicle includes a processing device and the visual sensing device. In a process where the rail vehicle travels along the rail, the visual sensing device captures images in front of the rail vehicle, and the visual sensing device emits a laser beam toward a front side of the rail vehicle. The visual sensing device receives the reflected laser beam to generate a laser sensing data. The processing device determines whether or not to change at least one of a travel direction and a travel speed of the rail vehicle according to the images captured by the visual sensing device and the laser sensing data.

A vehicle control system includes a controller configured to control communication between or among plural vehicle devices that control movement of a single vehicle system or a multi-vehicle system via a network that communicatively couples the vehicle devices. The controller also is configured to control the communication using a data distribution service (DDS) and with the network operating as a time sensitive network (TSN). The controller is configured to direct a first set of the vehicle devices to communicate using time sensitive communications, a different, second set of the vehicle devices to communicate using best effort communications, and a different, third set of the vehicle devices to communicate using rate constrained communications.