A control system and method includes obtaining information associated with a vehicle system that includes one or more vehicles that are configured to move along a route. The vehicle system information is applied to a trip simulation to determine how the vehicle system is expected operate while the vehicle system moves along the route. The trip simulation includes one or more anticipated operating conditions of the vehicle system and/or anticipated route conditions the vehicle system is expected to be exposed to as the vehicle system moves along the route. It is determined whether the vehicle system will be able to stop at one or more locations along the route based on the application of the vehicle system information to the trip simulation. An alert is communicated responsive to determining that the vehicle system will be unable to stop at the one or more locations along the route.

A dynamic load system includes a first electric machine simulating a load, a second electric machine, a coupling device for mechanically coupling the first electric machine to the second electric machine, a control unit with a processor and connected to the first electric machine and the second electric machine, wherein the control unit is configured to control the first electric machine and the second electric machine, wherein a reference value of the second electric machine is utilized to achieve a specific performance of the first electric machine.

The present application provides a virtual reality-based derailment accident passenger comfort degree monitoring system and method, wherein the system comprises a train dynamics calculation module, a train operation state virtual simulation module, a six-degree-of-freedom motion platform, a train seat, a head-mounted display, a human body monitoring sensor system and a monitoring data storage terminal. The system establishes a database of the injury degrees of passengers with different ages under the train derailment; the test cost is low, the safety coefficient is high, and the repeatability of the test conditions is good, wherein the comfort degree test data of the passengers under the same derailment inducement can be repeatedly obtained; the safety risk in the actual test is eliminated, so that the authenticity of the test result is ensured, and the test cost is low and the repeatability is high.

A switch mechanism serves for changing over the path traveled by a rail vehicle on a track. The switch mechanism has an electric motor, the rotational movement of which is converted into a linear movement by way of a spindle rod or toothed rack. Part of the mechanical system is usually also a coupling, which prevents excessive force from being exerted on the track. A flexible adaptation for the test slider of a switch drive enables complete testing of the switch drive on a test bench. The switch drive can be tested in the final state because the test slider does not need to first be removed and then reinstalled only after testing. Separate testing of the test slider in terms of its function and its high voltage strength is therefore no longer necessary. After the testing, no additional steps need to be carried out on the switch drive.

According to one embodiment, an abnormality diagnostic device includes processing circuitry. The processing circuitry learns, based on a model generated from sensor data of a diagnostic object in a railroad vehicle, a data selection condition for selecting the sensor data utilized to diagnose the diagnostic object. The processing circuitry diagnoses abnormality of the diagnostic object based on the sensor data satisfying the data selection condition and a diagnostic model representing a relation between the sensor data and the abnormality of the diagnostic object.

Systems and methods for synchronizing two or more vehicles operating on an electric transportation line to optimize energy consumption. A controller is provided having a computer memory component storing a set of computer-executable instructions, a list of braking intervals, and a list of acceleration intervals for the vehicles. The controller also has a processing component configured to execute the set of computer-executable instructions to operate on the list of braking intervals and the list of acceleration intervals to minimize an energy consumption of the electric transportation line over a determined period of time by shifting acceleration intervals to synchronize with braking intervals. A dedicated heuristic greedy algorithm and an energy model are implemented in the controller as part of the computer-executable instructions to achieve the improved energy consumption.

System having one or more processors that are configured to (a) generate, as a vehicle system moves along a route, a plurality of different trial plans for an upcoming segment of the route. The trial plans include potential operational settings of the vehicle system along the route. The one or more processors that are configured to (b) select one of the trial plans as a selected plan or generate the selected plan based on one or more of the trial plans. The selected plan is configured to improve one or more system-handling metrics as the vehicle system moves along the upcoming segment of the route. The one or more processors are configured to (c) communicate instructions to change or not change at least one of the operational settings of the vehicle system based on the selected plan.

System includes a control system used to control operation of a vehicle system as the vehicle system moves along a route. The vehicle system includes a plurality of system vehicles in which adjacent system vehicles are operatively coupled such that the adjacent system vehicles are permitted to move relative to one another. The control system includes one or more processors that are configured to (a) receive operational settings of the vehicle system and (b) input the operational settings into a system model of the vehicle system to determine an observed metric of the vehicle system. The one or more processors are also configured to (c) compare the observed metric to a reference metric and (d) modify the operational settings of the vehicle system based on differences between the observed and the reference metrics.

A system for detecting linear drive system faults includes a track, a calibrated inspection apparatus, and processing circuitry. The track includes track segments defining a path along which movers travel. Drive coils induce travel of the movers along the track. The calibrated inspection apparatus includes (i) a calibrated inspection mover that travels along the track and/or (ii) a calibrated inspection station including one or more of the track segments. The processing circuitry obtains feedback signals from controllers for the track segments. The feedback signals characterize relative motion between the calibrated inspection apparatus and (i) the track segments and/or (ii) the movers. The processing circuitry determines a fault based on the feedback signals and calibrated characteristics of the calibrated inspection apparatus. The fault includes at least one of (i) a track segment fault in the track segments or (ii) a mover fault in the movers.

A control system for a vehicle includes a first controller, a second controller, and an auto-tuner. The first controller is configured to generate an optimal trajectory of the vehicle along a path. The second controller is configured to, based on the optimal trajectory generated by the first controller, generate motoring and braking commands to a motoring and braking system of the vehicle for controlling the vehicle to travel along the path. The auto-tuner includes a processor configured to solve a real-time optimization problem to determine at least one parameter of at least one of the first controller or the second controller.