A system and a method for monitoring pressure inside a railway vehicle comprise a carriage pressure detection device, a control device, and an alarm device. The control device is configured to receive and process a pressure signal collected by the carriage pressure detection device, perform calculation on and analyze the collected data, and transmit an alarm signal to the alarm device as an alarm when a preset alarm condition is met. When a pressure protection device fails, pressure changes inside the vehicle are monitored in real time by the carriage pressure detection device functioning independently of the pressure protection device.

In one embodiment, a method includes determining, by a controller, a first wind direction relative to a first vehicle and determining, by the controller, a first wind speed relative to the first vehicle. The method also includes calculating, by the controller, an absolute wind direction relative to ground using the first wind direction relative to the first vehicle and calculating, by the controller, an absolute wind speed relative to the ground using the first wind speed relative to the first vehicle. The method further includes calculating, by the controller, a second wind direction relative to a second vehicle using the absolute wind direction and calculating, by the controller, a second wind speed relative to the second vehicle using the absolute wind speed. A front end of the first vehicle and a front end of the second vehicle face different directions.

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 control method for a train includes outputting an emergency brake instruction after detecting that a train control and management system is faulty, and outputting an emergency brake release instruction after detecting that the train control and management system is not faulty.

Systems and methods for adjusting operation of a train are disclosed. A method may include: receiving one or more infrared images of a brake line of the train; detecting one or more leaks of the brake line based on the one or more infrared images; and adjusting a brake command based on the detected one or more leaks.

A non-stop train system including a plurality of train cars in communication with one another and in communication with an electronic control module. The train system includes a track or any number of parallel tracks having a plurality of drop off and pick up locations. A prepositioned train car is stopped at one of the drop off and pick up locations. A non-stop express train approaches and passes by the drop off and pick up location on the track initiating the prepositioned train car to begin departure. The electronic control module is used to adjust the speed of the non-stop express train and the prepositioned train car based on a detected distance such that a rear coupler of the non-stop express train couples to the front coupler of the prepositioned train car while moving along the track.

A system and method are disclosed enabling the use of electromagnetic engines to traverse a wheeled bogie assembly across a plurality of rails. The electromagnetic engines may be used within a rail assembly comprising four rails and a frog assembly. Further, the electromagnetic engines may be used to traverse between a straight path and a turnout path at a non-moving rail switch having a frog assembly. In one aspect, an algorithm for powering various coils is disclosed wherein the algorithm controls the power level to switch tracks connected to the frog assembly.

A system includes one or more processors that are configured to obtain a constraint on movement for a first vehicle system along a route. The constraint is based on movement of a separate second vehicle system that is concurrently traveling along the same route. The processor(s) are configured to determine a speed profile that designates speeds for the first vehicle system according to at least one of distance, location, or time based on the constraint such that the first vehicle system maintains a designated spacing from the second vehicle system along the route.

A first locomotive that includes a control unit is disclosed. The control unit may receive a power demand, determine a first power limit of the first locomotive, and receive a second power limit of a second locomotive and a third power limit of a third locomotive. The control unit may proportion the power demand into a first power allocation for the first locomotive, a second power allocation for the second locomotive, and a third power allocation for the third locomotive. The control unit may adjust the first power allocation based on the first power limit, adjust the second power allocation based on the second power limit, and adjust the third power allocation based on the third power limit. The control unit may cause an action to be performed in connection with the first power allocation, the second power allocation, and the third power allocation.

A self-learning vehicle control system, the control system including: a controller configured to receive one or more of the following inputs: actual propulsion effort command; actual braking effort command; requested speed command; change in the requested speed command; change in the requested acceleration command; measured vehicle location; measured vehicle 3-D speed; measured vehicle 3-D acceleration; and measured vehicle 3-D angular speed; and one or more position determination sensors communicably connected with the controller; one or more 3-D speed determination sensors communicably connected with the controller; one or more 3-D acceleration determination sensors communicably connected with the controller; one or more 3-D angular speed determination sensors communicably connected with the controller; and an output device communicably connected with the controller and for providing requested speed and acceleration commands.