A railroad system including a wayside inspector system responsive to data originated from a real-time train tracking system, such as GPS or PTC is provided. The data from the real-time train tracking system includes data indicative of a respective train en route to a respective crossing. The data is further indicative of a respective direction of travel on a respective railway track of the respective train en route to the respective crossing. Disclosed embodiments offer a technical solution involving no physical sensing devices on the railway tracks for detection of the respective train en route to the respective crossing. This solution is effective for automated testing and reporting of timely activation of crossing warning equipment based on the data originated from the real-time train tracking system.

A railroad system including a wayside inspector system responsive to data originated from a real-time train tracking system, such as GPS or PTC is provided. The data from the real-time train tracking system includes data indicative of a respective train en route to a respective crossing. The data is further indicative of a respective direction of travel on a respective railway track of the respective train en route to the respective crossing. Disclosed embodiments offer a technical solution involving no physical sensing devices on the railway tracks for detection of the respective train en route to the respective crossing. This solution is effective for automated testing and reporting of timely activation of crossing warning equipment based on the data originated from the real-time train tracking system.

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.

An information sharing system derives from a roadway vehicles management system position-related data of a roadway vehicle along a road and determines a roadway vehicle timing at or during which the roadway vehicle is estimated to arrive at or cross a railway crossing. The information sharing system further derives from a railway vehicles management system position-related data of a railway vehicle along the railway and determines a railway vehicle timing at or during which the railway vehicle is estimated to arrive at or have passed the railway crossing. The information sharing system determines, based on comparing a roadway vehicle time window to a railway vehicle time window, that the roadway vehicle time window and the railway vehicle time window at least partly overlap. The information sharing system provides information associated with the overlap to the roadway vehicle or the railway vehicle.

An information sharing system derives from a roadway vehicles management system position-related data of a roadway vehicle along a road and determines a roadway vehicle timing at or during which the roadway vehicle is estimated to arrive at or cross a railway crossing. The information sharing system further derives from a railway vehicles management system position-related data of a railway vehicle along the railway and determines a railway vehicle timing at or during which the railway vehicle is estimated to arrive at or have passed the railway crossing. The information sharing system determines, based on comparing a roadway vehicle time window to a railway vehicle time window, that the roadway vehicle time window and the railway vehicle time window at least partly overlap. The information sharing system provides information associated with the overlap to the roadway vehicle or the railway vehicle.

A railroad crossing warning circuit includes a lamp and a signal generator for generating a first signal of a selected frequency. Divider circuitry divides the frequency of the signal to generate second signal at a flashing frequency. A switch responsive to the second signal controls current flow through the lamp and cause the lamp to flash at the flashing frequency.

A warning system comprising an advanced preemption system is provided to provide warning of an additional advanced preemption time directly from a wayside inspector to a city traffic controller to turn one or more traffic lights red on a route intersecting with the railroad crossing. The advanced preemption system includes a first set of wireless magnetometers to be installed on a railway track of the railroad crossing on a first side of the railroad crossing. The first set of wireless magnetometers to be located at an advanced preemption crossing start activation point that is being at a distance before an existing crossing start activation point of the railroad crossing to provide the warning of the additional advanced preemption time.

A warning system comprising an advanced preemption system is provided to provide warning of an additional advanced preemption time directly from a wayside inspector to a city traffic controller to turn one or more traffic lights red on a route intersecting with the railroad crossing. The advanced preemption system includes a first set of wireless magnetometers to be installed on a railway track of the railroad crossing on a first side of the railroad crossing. The first set of wireless magnetometers to be located at an advanced preemption crossing start activation point that is being at a distance before an existing crossing start activation point of the railroad crossing to provide the warning of the additional advanced preemption time.

System and methods for determining train direction and speed using laser measurements. The speed and direction determinations can be used to monitor, diagnose, and/or report the operational performance of a crossing warning system.