For a respective passenger car, a number of passengers situated therein and/or a number of available spaces is determined. A passenger flow simulation is initialized on the basis of the determined numbers is provided. A multiplicity of potential directions of movement are furthermore determined, for which a multiplicity of direction of movement-specific movement profiles are read in. The initialized passenger flow simulation is then executed for a respective movement profile, wherein a distribution value that rates a resultant passenger distribution is determined in each case. From the potential directions of movement, depending on the determined distribution values, specific directions of movement are selected and are output as direction of movement indications on passenger-specific and/or location-specific direction indicators is also provided.

A train control system using machine learning for development of train control strategies includes a machine learning engine. The machine learning engine receives training data from a data acquisition hub, including a plurality of first input conditions and a plurality of first response maneuvers associated with the first input conditions. The machine learning engine trains a learning system using the training data to generate a second response maneuver based on a second input condition using a learning function including at least one learning parameter. Training the learning system includes providing the training data as an input to the learning function, the learning function being configured to use the at least one learning parameter to generate an output based on the input, causing the learning function to generate the output based on the input, comparing the output to the plurality of first response maneuvers to determine a difference between the output and the plurality of first response maneuvers, and modifying the at least one learning parameter to decrease the difference responsive to the difference being greater than a threshold difference.

A machine learning system for maintaining distributed computer control systems for a train may include a data acquisition hub communicatively connected to a plurality of sensors configured to acquire real-time configuration data from one or more of the computer control systems. The machine learning system may also include an analytics server communicatively connected to the data acquisition hub. The analytics server may include a virtual system modeling engine configured to model an actual train control system comprising the distributed computer control systems, a virtual system model database configured to store one or more virtual system models of the distributed computer control systems, wherein each of the one or more virtual system models includes preset configuration settings for the distributed computer control systems, and a machine learning engine configured to monitor the real-time configuration data and the preset configuration settings. The machine learning engine may warn when there is a difference between the real-time configuration data and the preset configuration settings, the difference being indicative of at least two of the distributed computer control systems being out of synchronization by more than a threshold deviation.

A method for the detection of a crosstalk phenomenon in the communication between a wayside transmission unit, especially a balise, and an on-board unit including an antenna unit, of a railway vehicle, includes the steps of receiving an excitation signal of the wayside transmission unit by using the antenna unit in a moving state of the railway vehicle and measuring an electric and/or a magnetic field in a near field of the wayside transmission unit by using the antenna unit upon reception of the excitation signal. A near field to far field transformation on the field measured in the measuring step is performed to detect a presence of a crosstalk phenomenon. A corresponding an on-board unit is also provided.

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.

An on-board device is configured for reading a telegram of a balise installed at a point along a route followed by a guided vehicle in which the on-board device is to be installed. The on-board device includes a receiver having an antenna for picking up the telegram transmitted by the balise and delivering a reception signal to a processing unit. The processing unit is configured for processing the reception signal in order to read the telegram sent by the balise. A test component is configured for adding a test signal to the reception signal before its processing by the processing unit. The test signal is configured to act as a noise for limiting a sensitivity of the receiver, making it therefore impossible to read a cross-talk signal. A method for protecting the on-board device from cross-talk is also provided.

Disclosed is a method for arranging parallel maintenance lines for railway wagons, including: (1) obtaining design information of the parallel maintenance lines; (2) initially designing the parallel maintenance lines; where the maintenance lines comprise a disassembly line and an assembly line parallel to each other, and the disassembly line and the assembly line are connected through a track; (3) establishing a multi-objective mathematical model for solving a parallel maintenance line balancing problem, where the multi-objective mathematical model comprises a first model for minimizing the number of workstations, a second model for minimizing an idle time of the workstations and a third model for minimizing the number of maintenance resources; and (4) obtaining a feasible solution using an intelligent optimization algorithm.

An apparatus for supporting development of a program used in a control device of a train monitoring and controlling apparatus including a plurality of intra-train networks, the control device transmitting/receiving signals to/from the plurality of intra-train networks, the control device including a plurality of communication substrates for communicating with one of the plurality of intra-train networks and the control substrate connected to the plurality of communication substrates, the program development supporting apparatus receives a communication-substrate network communication data definition file used in each of the plurality of communication substrates, generates a control-substrate input/output signal variable definition file by using the communication-substrate network communication data definition file, and outputs the control-substrate input/output signal variable definition file. The control-substrate input/output signal variable definition file is used in the control substrate, the control substrate performing communication in a communication data format that is common among the plurality of communication substrates.

A portable pneumatic loading system for simulating the operation of a subway train is provided, comprising a control cabinet, an powered air station and an air cylinder, wherein a proportional directional valve is disposed between the control cabinet and the powered air station, a control cabinet is connected to the powered air station through an air inlet pipe, and the powered air station is connected to the air cylinder through a hose; a PLC, a switching power supply and a guide rail are arranged in the control cabinet, with the PLC and the switching power supply being connected through signal lines to a wiring terminal fixed on the guide rail; a frequency regulating knob, an emergency stop switch, a main start button, a power start button and a power indicator are embedded in five through holes formed on a door of the control cabinet, respectively; a signal line led out from the top of the control cabinet is connected to the proportional directional valve; and, the air cylinder is connected to the proportional directional valve through a hose. The present invention has the following advantages: the system is light, flexible and portable, and can enter subway tunnels under various working conditions; and, the design is novel and reasonable, the operation is simple, the actual engineering operation is highly feasible, and the on-site adjustment process is more visible.

Provided is an inspection system that can reduce the burden of inspecting a detector provided on a transport vehicle that travels on a preset transport path. An inspection system 1 includes a projection surface 5F that is disposed at a position located within a detection range IE of a detector 3 in a state in which a transport vehicle 2 is present at an inspection location IP set on a transport path R, and onto which detection light IL projected by the detector 3 is projected, an image capturing device C that captures an image of the projection surface 5F, and a determination unit that determines at least one state selected from a position, a shape, and a light intensity of the detection light IL projected onto the projection surface 5F, based on an image captured by the image capturing device C.