A locomotive control system measures actuating parameters of a locomotive propulsion system and monitors the actuating parameters according to a forcing function of operation of the propulsion system. A degraded component of the locomotive is identified by comparing actuating parameters generated according to the forcing function with actuating parameters expressed as a function of speed of another locomotive propulsion system, examining changes in the generated actuating parameters over time, examining oscillations in movement of the locomotive during gear shifting, comparing wheel speed decreases during another forcing function, and/or comparing a magnitude of a spectrum of the actuating parameters of with one or more designated magnitudes.

An intelligent, on-board, train brake safety monitoring and fault action system is disclosed. The system compares measured dynamic train brake performance using on-board train control system, such as a LEADER system. Using the measured dynamic train brake performance, the brake monitoring system can determine whether the train is capable of stopping within a particular required distance, such as a stop distance set by a positive train control system in which the train is participating. The ongoing ability to meet external braking criteria, such as compliance with positive train control stop distances, may be used to extend the interval between any mandated train brake inspections and tests.

A positive train control may comprise a plurality of different sensors coupled to a processor that determines whether there is an anomaly of a track way, and if there is, provides an alert and/or a train control action. The plural sensors may include a visual imager, an infrared imager, a radar, a doppler radar, a laser sensor, a laser ranging device, an acoustic sensor, and/or an acoustic ranging device. Data from the plural sensors is geo-tagged and time tagged. Some embodiments of the train control employ track monitors, switch monitors and/or wayside monitors, and some employ locating devices such as GPS and inertial devices.

The present disclosure relates to a speed control system of a railway vehicle in consideration of a braking characteristic, and more particularly, to a speed control system of a railway vehicle in consideration of a braking characteristic, which calculates in real time a time-to-target-speed-crossing (TTTSC) that is a time required for a speed of a train to exceed a speed of an automatic train operation (ATO) profile through a future speed estimation of the train, and controls the speed of the train to be interlocked with the TTTSC.

A control system dictates operational settings of a rail vehicle system based a transitory second speed limit that is no faster than a current first speed limit and which is issued for a determined segment of the track for a determined time period. The control system obtains a current time, determines whether the transitory second speed limit has started, is in effect, or has expired based on the current time relative to the determined time period, and, in response to such determination, performs one or more of (a) generate a prompt to indicate that the determined time period has expired, (b) operate the rail vehicle system at the first speed limit, and/or (c) modify the operational settings of the rail vehicle system to exceed the second speed limit in the determined segment but not exceed the first speed limit for the determined segment.

A system includes a locator device and one or more processors operably connected to the locator device. The locator device determines a trailing distance between a trailing vehicle system that travels along a route and a leading vehicle system that travels along the route ahead of the trailing vehicle system in a same direction of travel. The one or more processors compare the trailing distance to a first proximity distance relative to the leading vehicle system. In response to the trailing distance being less than the first proximity distance, the one or more processors set a permitted power output limit for the trailing vehicle system to be less than a maximum achievable power output for the trailing vehicle system, the permitted power output limit being set based on a power-to-weight ratio of the leading vehicle system.

A data-driven integral sliding mode control method, system and device for a high-speed electric multiple unit (EMU) is provided, which relates to the field of operation control of EMUs. The method includes performing kinetic analysis on an operation process of a high-speed EMU to enable an input and output data set of the EMU to be equivalent to a multi-input-multi-output (MIMO) discrete-time nonlinear system; constructing an EMU full format dynamic linearization (FFDL) data model involving a generalized disturbance based on the MIMO discrete-time nonlinear system; designing an equivalent control law and a switching control law based on the FFDL data model; and establishing a MIMO EMU integral sliding mode control law, thus controlling the operation of the high-speed EMU. According to the present disclosure, the integral sliding mode control law is deduced based on the FFDL data model to conduct nonlinear control of the EMU.

A train control system includes independent virtual in-train forces modeling engines onboard each of a plurality of locomotives in a train. Each of the plurality of locomotives may also include an analytics engine and a calibration engine configured to assimilate, analyze, and calibrate real time information from the locomotives and from draft gears and couplers interconnecting the locomotives and non-powered rail cars with determinations made by the independent virtual in-train forces modeling engine onboard the respective locomotive, with the plurality of locomotives of the train being configured to operate collectively and coordinate their own acceleration values based on a common goal of minimizing in-train forces without being dependent on command and control signals from a lead locomotive or central command.

In one embodiment of the subject matter described herein a system is provided. The system includes a location determining circuit configured to acquire position information of a vehicle system moving along a route. The system includes a controller circuit having one or more processors. The controller circuit is configured to calculate curvatures of the route, based at least in part on the position information, to form a curvature waveform. The controller circuit is further configured to generate a route map based on the curvature waveform.

A system includes a controller, an activation device, and a communication device. The controller may control movement of a first vehicle system absent an operator input onboard the first vehicle system. The controller may control a propulsion system and a braking system of the first vehicle system. The controller may be positioned off-board the first vehicle system. The activation device may receive a status signal indicating a presence of a work marker proximate to the first vehicle system. The communication device may communicate a lockout signal from the activation device to the controller to direct the controller to prevent activation of the propulsion system and engage the braking system to prevent movement of the first vehicle system.