A crossing gate mechanism includes a swingable gate arm, a rotatable gate arm shaft fixed to the gate arm, and an electronic sensor assembly coupled to the gate arm shaft. Rotation of the gate arm shaft corresponds with swinging of the gate arm. The electronic sensor assembly senses an angular position of the gate arm shaft and transmits a position signal corresponding thereto. The electronic sensor assembly includes a driving element that is attached to the gate arm shaft to rotate therewith. the electronic sensor assembly also includes a driven element that is driven by the driving element such that rotation of the gate arm shaft causes the driven element to rotate. The electronic sensor assembly is configured to generate the position signal based on a position of the gate arm shaft.

A crossing gate mechanism includes a gate mechanism enclosure, electrical components inside the gate mechanism enclosure, and a controller inside the gate mechanism enclosure. The controller is connected to and configured to monitor and/or control the electrical components. The controller includes an operator panel for receiving input from a user. In addition, the controller has a user interface displayed by the operator panel. The controller is operable to present information associated with the electrical components on the user interface.

A crossing gate mechanism includes a gate mechanism enclosure, electrical components inside the gate mechanism enclosure, and a controller inside the gate mechanism enclosure. The controller is connected to and configured to monitor and/or control the electrical components. The controller includes an operator panel for receiving input from a user. In addition, the controller has a user interface displayed by the operator panel. The controller is operable to present information associated with the electrical components on the user interface.

An end-of-train device, a system, and a method for monitoring barrier gates are provided. The method includes receiving at least one image associated with a barrier gate from an imaging device mounted on a train. Further, the at least one image is analyzed to determine a current status of the barrier gate. The current status corresponds to a position associated with the barrier gate. Based on the current status of the barrier gate, an action to be performed is identified. Further, one or more instructions for performing the identified action are generated.

Examples of techniques for anomaly detection in a grade crossing prediction system are disclosed. Aspects include receiving a training data set comprising a plurality of labelled time series of signal values from a track circuit in a grade crossing predictor system, removing one or more non-unique values from each labelled time series of signal values in the plurality of labelled time series of signal values, extracting a plurality of features from the plurality of labelled time series of signal values, the plurality of features comprising: a number of signal values for each labeled time series of signal values in the plurality of labelled time series of signal values that are larger than a first threshold and a standard deviation for each labelled time series of signal values in the plurality of labelled time series of signal values, and training a machine learning algorithm utilizing the plurality of features.

Examples of techniques for anomaly detection in a grade crossing prediction system are disclosed. Aspects include receiving a training data set comprising a plurality of labelled time series of signal values from a track circuit in a grade crossing predictor system, removing one or more non-unique values from each labelled time series of signal values in the plurality of labelled time series of signal values, extracting a plurality of features from the plurality of labelled time series of signal values, the plurality of features comprising: a number of signal values for each labeled time series of signal values in the plurality of labelled time series of signal values that are larger than a first threshold and a standard deviation for each labelled time series of signal values in the plurality of labelled time series of signal values, and training a machine learning algorithm utilizing the plurality of features.

A railroad communication system (100, 200) includes a wayside control device (130) in communication with one or more railroad crossing warning device(s) (140, 145) located at a railroad grade crossing (125), wherein the one or more railroad crossing warning device(s) (140, 145) are activated in response to a signal of the wayside control device (130). An autonomous motor vehicle (150) approaches the railroad grade crossing (125), wherein the wayside control device (130) is configured to communicate information in response to an activation of the one or more railroad crossing warning device(s) (140, 145), and wherein the autonomous motor vehicle (150) is configured to receive the information.

Railroad crossing object detection systems and methods include radar sensors detecting object presence, speed and heading in a different manner. A controller compares signal outputs from the different sensors to provide traffic control preemption signals and self-diagnose sensor problems. The sensor devices may include an ultra-wideband (UWB) impulse radar device and at least one reflective device providing failsafe object presence detection and object non-presence detection in redundant fashion with at least a second sensor device such as a side-fired radar device.

Railroad crossing object detection systems and methods include radar sensors detecting object presence, speed and heading in a different manner. A controller compares signal outputs from the different sensors to provide traffic control preemption signals and self-diagnose sensor problems. The sensor devices may include an ultra-wideband (UWB) impulse radar device and at least one reflective device providing failsafe object presence detection and object non-presence detection in redundant fashion with at least a second sensor device such as a side-fired radar device.

A railway road crossing warning system (10) including a railway road crossing control unit (18) that may be selectively set to a primary or a secondary mode of operation is provided. In the primary mode of operation, the railway road crossing control unit is responsive to a primary activation signal (21) received from a primary activation-signal source (22), such as a positive train control (PTC) system. In the event the primary activation signal from the primary activation-signal source is not available, railway road crossing control unit (18) is set to the secondary mode of operation, where the railway road crossing control unit is responsive to one or more signals (25) received from a secondary activation-signal source (26) including a railway-vehicle sensing system (28) electrically-decoupled from a railroad track (12). Disclosed embodiments maintain operational robustness in the presence of changing weather and avoid variable electrical ballast conditions that otherwise could develop across the rails, while providing a cost-effective and reliable backup capability for a PTC-started crossing system.