A system and method is disclosed for predicting and comparing wear scenarios in a rail system. The method can include generating and running a contact model of the interaction between a rail and a train car to produce a simulated loading on the rail for a predetermined time period; generating and running a wear model based on the material properties and/or friction modifier properties of the rail using the simulated loading to produce a simulated wear profile of the rail for the predetermined time period; obtaining a grinding profile to be performed on the rail during the predetermined time period; and generating an updated rail profile by modifying the rail profile by the simulated wear profile and the grinding profile. The method can predict and compare crack growth over time, and provide a financial model and comparison of costs and benefits for different maintenance protocols for the rail system.

The present aspects refer to a method for prioritizing railway crossing flows comprising: defining residence location nodes, daily-activity location nodes and level crossing nodes within a zone of influence; generating a graph comprising the residence location nodes, daily-activity location nodes and level crossing nodes and a set of edges, wherein said edges connect the residence location nodes, daily-activity location nodes and level crossing nodes, generating a connected component containing residence location nodes, daily-activity location nodes and level crossing nodes; and obtaining a vector comprising the level crossing nodes in descending order of the value assigned to each level crossing node. The present aspects also refer to a memory storage medium comprising computer-executable instructions for implementing a method for prioritizing railway crossing flows.

The present invention relates to a test bench for a switch machine of a railway switch, the test bench comprising: a rigid frame adapted to receive the switch machine, the switch machine comprising a switch motor adapted to move a driving shaft; a pair of outer rails fixed to the frame, wherein the switch machine is adapted to be fixed to the outer rails; a pair of inner rails, which are movable with respect to the outer rails between a first end position and a second end position, the inner rails being adapted to be connected to the driving shaft of the switch machine; a braking module connected to the pair of inner rails, the braking module is adapted to generate a braking force that brakes the movement of the inner rails.

A system and method identify vehicles to be included in a multi-vehicle system that is to travel along one or more routes for an upcoming trip, and determines plural different potential builds of the multi-vehicle system. The different potential builds represent different sequential orders of the vehicles in the multi-vehicle system. The system and method also simulate travels of the different potential builds for the upcoming trip, calculate a safety metric, consumption metric, and/or build metric for the different potential builds based on travels that are simulated, and generates a quantified evaluation of the safety metric, consumption metric, and/or build metric for the different potential builds for use in selecting a chosen potential build of the different potential builds. The chosen potential build is used to build the multi-vehicle system for the upcoming trip.

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.

A degradation estimation system includes a processing unit simulating an operation mode of equipment on a corresponding railroad section at each set-up timing based on corresponding railroad section timetable information, and processing respective simulation results, and an estimation unit aggregating respective processing results of the processing unit. The processing unit simulates a travel transition of each training existing in the corresponding railroad section timetable information as a dynamic of each train based on corresponding railroad section timetable information and a running curve, simulates a state change of each track circuit based on the simulation result and railroad track information, and simulates an operational change of the equipment on each track circuit. The estimation unit aggregates the simulation result of the processing unit indicating the operational change of the equipment disposed on each track circuit, and estimates the degradation of the equipment from the aggregation result.

A train signal system includes a first subsystem, a second subsystem, built by an LUA framework, and a control platform configured to perform communication with the first subsystem by using a first interface, perform communication with the second subsystem by using a second interface, and transmit an LUA script instruction to the second subsystem by using the second interface, so that the second subsystem executes the LUA script instruction.

The present disclosure relates to a train identification system and method, and a train safety inspection system and method. The train identification system includes: a remote detection component, configured to acquire overall feature information of an inspected train through remote monitoring; and an identification device, configured to determine at least one of a type and a traveling situation of the inspected train according to the acquired overall feature information.

The present disclosure relates to a train identification system and method, and a train safety inspection system and method. The train identification system includes: a remote detection component, configured to acquire overall feature information of an inspected train through remote monitoring; and an identification device, configured to determine at least one of a type and a traveling situation of the inspected train according to the acquired overall feature information.

A method and an apparatus for identifying faults in a computer-aided manner for a technical system including a switch and a switch drive is provided. A fault or a disruption in the switch and/or in the switch drive is detected by capturing a temporal profile of a measurement variable of the switch drive. A simulation model is provided for the technical system and a fault situation is set by means of setting values of the simulation model, wherein the setting values are assigned to the fault situation. The technical system is simulated by means of the simulation model, wherein a simulated temporal profile of the measurement variable is captured. The simulated temporal profile is compared with the temporal profile of the measurement variable of the switch drive, wherein the fault situation is assigned to the detected fault on the basis of the comparison.