An example remote control locomotive (RCL) system includes a consist having at least one locomotive and at least one pneumatic brake pipe, and an RCL controller. The RCL controller includes a memory configured to store at least one pressurization reference including correspondence relationships between pneumatic brake pipe pressurization time periods and pneumatic brake pipe air volumes, and a processor configured to monitor a time period to pressurize the at least one pneumatic brake pipe of the consist. The processor is also configured to compare the monitored time period to pressurize the at least one pneumatic brake pipe to the pressurization reference, and determine a fault or a number of locomotives in the consist according to the comparison of the monitored time period to pressurize the at least one pneumatic brake pipe to the pressurization reference.

An example remote control locomotive (RCL) system includes a consist having at least one locomotive and at least one pneumatic brake pipe, and an RCL controller. The RCL controller includes a memory configured to store at least one pressurization reference including correspondence relationships between pneumatic brake pipe pressurization time periods and pneumatic brake pipe air volumes, and a processor configured to monitor a time period to pressurize the at least one pneumatic brake pipe of the consist. The processor is also configured to compare the monitored time period to pressurize the at least one pneumatic brake pipe to the pressurization reference, and determine a fault or a number of locomotives in the consist according to the comparison of the monitored time period to pressurize the at least one pneumatic brake pipe to the pressurization reference.

A device configured to process data comprised in data messages passing on message buses of a rolling stock comprises: a universal input interface receiving data messages complying with the three following physical layers: RS232; RS485; CAN. From the message buses, the data messages comprise data; a processing engine receiving a remote requested configuration comprising one or more processing rules; a standardizing unit decoding the data messages into standardized data streams in function of the remote requested configuration; and wherein the processing engine further applies one or more of the one or more processing rules of the standardized data streams in function of the remote requested configuration.

A device configured to process data comprised in data messages passing on message buses of a rolling stock comprises: a universal input interface receiving data messages complying with the three following physical layers: RS232; RS485; CAN. From the message buses, the data messages comprise data; a processing engine receiving a remote requested configuration comprising one or more processing rules; a standardizing unit decoding the data messages into standardized data streams in function of the remote requested configuration; and wherein the processing engine further applies one or more of the one or more processing rules of the standardized data streams in function of the remote requested configuration.

A system is provided that includes a controller having one or more processors. The one or more processors may be configured to obtain first vehicle system data from a first vehicle system of plural vehicle systems based on a common characteristic shared by the plural vehicle systems, and obtain second vehicle system data from a second vehicle system of the plural vehicle systems, the second vehicle system data based on the common characteristic shared by the two or more vehicle systems. The one or more processors may also be configured to compare the first vehicle system data to the second vehicle system data, and identify one of the first vehicle system or the second vehicle system as a candidate vehicle system for maintenance based on comparing the first vehicle system data to the second vehicle system data.

The present invention provides a method for determining an element characteristic of at least one railroad element, comprising the steps of: providing a motion sensor (2) on the at least one railroad element (6); collecting motion data provided by the motion sensor (2), wherein the motion data is representing a motion characteristic of the railroad element (6) different from the element characteristic; determining the element characteristic on the basis of the motion data.

The present invention provides a method for determining an element characteristic of at least one railroad element, comprising the steps of: providing a motion sensor (2) on the at least one railroad element (6); collecting motion data provided by the motion sensor (2), wherein the motion data is representing a motion characteristic of the railroad element (6) different from the element characteristic; determining the element characteristic on the basis of the motion data.

It makes it possible to track instrument information and to obtain an accurate history of the instrument information, even when a mounting position mounted with a railway vehicle instrument has been changed. Instrument information indicating an operation or a state of a railway vehicle instrument mounted to each mounting position included in a composition is collected. A serial number determined for each mounting position is updated. The instrument information is assigned with a temporary ID including position information specifying the each mounting position and a serial number. A combination of a new temporary ID and an old temporary ID included in the temporary ID group and assigned to new instrument information and old instrument information indicating an operation or a state of a same railway vehicle instrument is estimated.

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 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.