A method of controlling one or more locomotives in a train includes using a machine learning engine and a virtual system modeling engine to model and classify sections of track along which the train is traveling according to the tractive power needs for the train traversing each section of track as a function of an effective weight profile for the train in the section and an effective friction profile for the train in the section of track. The method includes using the results of the effective weight profile, the effective friction profile, and an effective power availability profile to train the virtual system modeling engine using the machine learning engine to model designated areas of the track where the total tractive effort force or dynamic braking force applied by all of the locomotives in the train is less than a tractive effort force or dynamic braking force, respectively, that can be provided by a subset of the available locomotives in the train.

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.

A moving body control device for controlling a moving body, including an information acquisition unit that acquires moving body-specific information including a bogie position and a vehicle body mass, a moving body position, a moving body velocity, and track information including a curvature for each position of the track, and a feedforward steering angle calculation unit that calculates a steering angle by using the moving body-specific information, the moving body position, the moving body velocity, and the track information. The feedforward steering angle calculation unit calculates the steering angle according to a sum of a kinematic component calculated based on a geometrical relationship between the bogie position and the curvature of a track, and a dynamic component calculated based on an equation of motion including the bogie position, the vehicle body mass, the moving body velocity, and the curvature and a curvature change rate of the track.

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 and method for automating workflow and performing root cause analysis for enforcement events is presented. The system can enable accurate detection of an enforcement event and identifies the root cause of such events. The system can provide a user with an interface to monitor the enforcement event by collecting a list of data characterizing the enforcement event, as well as analyze the data to evaluate what is the root cause of the enforcement event. The system can extract critical information from train system logs of the train using an extraction model to generate a window of activity providing an analysis model with a comprehensive scope to analyze the enforcement event. The system can give the user robust and accurate information of the root cause of the enforcement event.

A train driving assistance apparatus includes a driver information identification unit that uniquely identifies a driver; a driver behavior identification unit that identifies behavior of the driver; a train information acquisition unit that obtains train information; a travel information acquisition unit that obtains information on the train's travel; an external factor acquisition unit that obtains information on an external factor that can be a factor of a delay in operation; a driving situation discernment unit that discerns a train driving situation on the basis of information obtained from the driver information identification unit, the driver behavior identification unit, the train information acquisition unit, the travel information acquisition unit, and the external factor acquisition unit; and an assistance control unit that determines whether or not assistance is necessary for the driver and determines assistance content that aligns with the driver when the assistance is to be provided.

Disclosed is method including receiving digital vehicle data for a fleet of vehicles like trucks, trains, planes, drones, etc., the digital vehicle data being one or more of GPS/location-based data, image data or radar data and combining one or more of pieces of data. The method includes inferring, based on the first combined data or based on incomplete data, a loaded/empty status of a vehicle. The method includes combining other data to yield second combined data, receiving data regarding one or more of supply, demand, and amount of available cargo to yield third combined data, generating information relating to a supply of vehicles available to load at a specified dock and/or deliver a cargo to a specified dock, in each case within a specified period of time and generating suggestions for one or more vehicles regarding future routes based on the data.

An embodiment of the present disclosure provides a route resource controlling method, intelligent vehicle on-board controller and object controller. The method comprises: determining a route search extension distance of a train based on current location and speed of the train, wherein the current route search extension distance is the farthest distance in front of the train that is currently expected to be safe for operation based on current speed of the train; determining the currently required link and route resource contained thereof; determining the target authority of the route resource.

The invention is intended for conserving energy expended by railway rolling stock, for instance by a locomotive when carrying out train operations and shunting, when trains are run in an automatic mode or in a train operator assistance mode. A method for increasing the efficiency of rolling stock includes the following steps: obtaining the parameters of the rolling stock, including at least the following: speed, coordinates, overhead system voltage, traction engine current voltage, brake line discharging; in addition, determining at least the dependence parameters of an active traction force, braking force, motion resistance force, force of wheel adherence to the rails, and the mass of the rolling stock; then, determining the optimal control to be carried out by traction and braking equipment of railway rolling stock based on the dependence parameters obtained during the previous step; then, transmitting the optimal control, determined during the previous step, to a rolling stock control system for implementation or for displaying to the train operator.

A system that can automatically control the emissions of each locomotive in a consist to reduce overall train emissions. An emissions module determines the amount of emissions emitted by a train. An emissions control module commands the locomotive, via the train control system, to operate in a predetermined state to achieve a particular amount of emissions. A location module can track the location of the locomotive of the train relative geographic locations having emission regulations so that the emissions control module can command appropriate changes in the locomotive to reduce emissions.