A locomotive is disclosed. The locomotive includes a car body, including an operator cabin, a power source, and an operator health monitor within the operator cabin, the operator health monitor configured to monitor at least one health condition associated with the operator and configured to generate an operator health signal associated with the at least one condition. The locomotive includes an operator warning system within the operator cabin, configured to present the operator with an operator warning in response to an operator warning signal, and an electronic controller. The electronic controller may be configured to determine an operator fatigue score based on, at least, the operator health signal, determine if the operator fatigue score exceeds a warning threshold, and transmit the operator warning signal to the operator warning system if the operator fatigue score exceeds the warning threshold.

A control system for remotely facilitating a lead change among a plurality of locomotives in a train is disclosed. The control system may include a user input device, a display device, a communicating device configured to exchange information with the plurality of locomotives, and a controller in electronic communication with the user input device, the display device, and the communicating device. The controller may be configured to generate on the display device a graphical user interface configured to receive a plurality of user inputs in conjunction with the user input device, wherein the plurality of user inputs includes an isolation switch selection, a distributed power selection, and a lead/trail selection. The controller may also be configured to generate configuration commands communicable to the plurality of locomotives via the communicating device based on the user inputs.

A method validates an obstacle identification system. In order to be able to demonstrate that obstacles are identified by an obstacle identification system at least as reliably as by a driver, it is provided that, in order to form driving scenarios, stochastic combinations of prespecified distributions of submodules are provided. The provided combinations are subjected first, for carrying out a simulation study, to simulation by a simulator and second to automatic processing by an obstacle identification algorithm of the obstacle identification system, and a result of a simulation study, which is carried out by the simulator, and a result of the automatic processing are automatically tested for agreement.

The driving assistance device (10) for a railway vehicle comprises means (12) for determining a target speed (V.sub.c), means (20) for comparing an instantaneous speed (V.sub.i) of the railway vehicle with the target speed (V.sub.c) or an interval surrounding the target speed, and means (22) for indicating driving instructions intended for a driver of the railway vehicle, said driving instructions including instructions for modifying the instantaneous speed (V.sub.i) with view to bringing it closer to the target speed (V.sub.c).

The driving assistance device (10) for a railway vehicle comprises means (12) for determining a target speed (V.sub.c), means (20) for comparing an instantaneous speed (V.sub.i) of the railway vehicle with the target speed (V.sub.c) or an interval surrounding the target speed, and means (22) for indicating driving instructions intended for a driver of the railway vehicle, said driving instructions including instructions for modifying the instantaneous speed (V.sub.i) with view to bringing it closer to the target speed (V.sub.c).

According to one embodiment, an abnormality diagnosis apparatus includes processing circuitry. The processing circuitry estimates a reduction amount of a regeneration amount of a diagnosed vehicle that is a railway vehicle, based on vehicle data of the diagnosed vehicle and vehicle data of a peripheral vehicle different from the diagnosed vehicle. The processing circuitry corrects the regeneration amount of the diagnosed vehicle, based on the estimated reduction amount. The processing circuitry diagnoses abnormality of a regenerative brake of the diagnosed vehicle, based on the corrected regeneration amount.

According to one embodiment, an abnormality diagnosis apparatus includes processing circuitry. The processing circuitry estimates a reduction amount of a regeneration amount of a diagnosed vehicle that is a railway vehicle, based on vehicle data of the diagnosed vehicle and vehicle data of a peripheral vehicle different from the diagnosed vehicle. The processing circuitry corrects the regeneration amount of the diagnosed vehicle, based on the estimated reduction amount. The processing circuitry diagnoses abnormality of a regenerative brake of the diagnosed vehicle, based on the corrected regeneration amount.

An automated on-vehicle rail vehicle control system has an on-vehicle set point value detection unit, an automated train operating system, a driving and braking unit, and additional sensors for detecting environment-related information. The on-vehicle set point value detection unit is configured to determine, based on on-vehicle positioning and map data as well as sensor data from the additional sensors, operative set point values for the control mode and the current driving mission of the rail vehicle. The automated train operating system is configured to generate driving and braking commands based on the set point values of the on-vehicle set point value detection unit. The driving and braking unit is configured to carry out traction and braking operations based on the driving and braking commands so determined. There are also described a rail vehicle and a method for the automated control of a rail vehicle.

An automated on-vehicle rail vehicle control system has an on-vehicle set point value detection unit, an automated train operating system, a driving and braking unit, and additional sensors for detecting environment-related information. The on-vehicle set point value detection unit is configured to determine, based on on-vehicle positioning and map data as well as sensor data from the additional sensors, operative set point values for the control mode and the current driving mission of the rail vehicle. The automated train operating system is configured to generate driving and braking commands based on the set point values of the on-vehicle set point value detection unit. The driving and braking unit is configured to carry out traction and braking operations based on the driving and braking commands so determined. There are also described a rail vehicle and a method for the automated control of a rail vehicle.

In an example, the autonomous vehicle (“AV”) can be configured among the other vehicles and railway to communicate with a rider on a peer to peer basis to pick up the rider on demand from a location on a track, like a railway, tram or other track, rather than the rider being held hostage to a fixed railway schedule. The rider can have an application on his/her cell phone, which tracks each of the AVs, and contact them using the application on the cell phone. In an example, the AV is configured for both on-track and off track operation with different operating parameters for on-track and off track, including speed, degree of autonomy, sensors used etc.