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 control system including one or more processors that may determine vehicle locations of one or more vehicles and states of charge of vehicle energy storage devices onboard the one or more vehicles. The control system may include an energy chassis having a fuel source holding a supply of fuel, an energy converter to convert at least a portion of the supply of the fuel from the fuel source into electric energy, and a communication device to communicate with the processors. The processors may direct which of the one or more vehicles are to couple with and be powered by the electric energy of the energy chassis based on one or more of: the vehicle locations, the states of charge of the vehicle energy storage devices, an amount of the supply of the fuel of the energy chassis, and a chassis location of the energy chassis.

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 railroad infrastructure communication network is presented. The network can include a plurality of infrastructure nodes distributed proximate a railroad track, such as near railroad equipment and/or assets. Infrastructure nodes can be configured to receive data from equipment sensor and/or assets and transmit such data via the network. Infrastructure nodes can further generate alert and/or alert packets based on such received data. Infrastructure nodes can self-define in a network infrastructure depending on configured connection types, and can for example, serve as repeater nodes (to promulgate a transmission to additional infrastructure nodes) and/or collector nodes (to collect data for a centralized server node). A server node can be configured to receive data and/or packet from infrastructure nodes and generate requests for additional systems, personnel, etc. to address such requests. The network can limit the data transmission size and leverage distributed processing capabilities to enable transmissions over long ranges, such as by reducing the bandwidth required to transmit packets.

A railroad infrastructure communication network is presented. The network can include a plurality of infrastructure nodes distributed proximate a railroad track, such as near railroad equipment and/or assets. Infrastructure nodes can be configured to receive data from equipment sensor and/or assets and transmit such data via the network. Infrastructure nodes can further generate alert and/or alert packets based on such received data. Infrastructure nodes can self-define in a network infrastructure depending on configured connection types, and can for example, serve as repeater nodes (to promulgate a transmission to additional infrastructure nodes) and/or collector nodes (to collect data for a centralized server node). A server node can be configured to receive data and/or packet from infrastructure nodes and generate requests for additional systems, personnel, etc. to address such requests. The network can limit the data transmission size and leverage distributed processing capabilities to enable transmissions over long ranges, such as by reducing the bandwidth required to transmit packets.

A method for logging an item of information relating to a rail vehicle, includes recording a speech input having the item of information, by a user of the rail vehicle and saving the recorded speech input as an audio file. The saved audio file is sent via a wireless communications network to a subscriber, remote from the rail vehicle, of the communications network. A device logs the subscriber, remote from a rail vehicle, of the communications network.

A method for logging an item of information relating to a rail vehicle, includes recording a speech input having the item of information, by a user of the rail vehicle and saving the recorded speech input as an audio file. The saved audio file is sent via a wireless communications network to a subscriber, remote from the rail vehicle, of the communications network. A device logs the subscriber, remote from a rail vehicle, of the communications network.