The present disclosure provides a method and apparatus for determining coupling and decoupling positions between trains. In at least one embodiment, the present disclosure provides a method performed by an apparatus for determining coupling and decoupling positions between trains, the method comprising collecting performance data, simulation data, and real-time data, calculating a first parameter and a second parameter, and determining the coupling and decoupling positions between the trains.

A system comprises a set of sensors on a first end of a vehicle having the first end and a second end, and a controller. The sensors are configured to generate corresponding sensor data based on a detected object along a direction of movement of the vehicle. The controller is configured to compare a time at which the first sensor detected the object with a time at which the second sensor detected the object to identify the first end or the second end as a leading end of the vehicle, and to calculate a position of the leading end of the vehicle based on the sensor data generated by one or more of the first sensor or the second sensor. The controller is also configured to generate a map of the plurality of objects based on the sensor data.

The present invention discloses an iterative learning control (ILC) method for a multi-particle vehicle platoon driving system, and relates to the field of ILC. The method includes: firstly, discretizing a multi-particle train dynamic equation using a finite difference method to obtain a partial recurrence equation, and then transforming the partial recurrence equation into a spatially interconnected system model; secondly, transforming the spatially interconnected system model into an equivalent one-dimensional dynamic model using a lifting technology, and in order to compensate input delay, designing an ILC law based on a state observer, and thirdly, transforming a controlled object into an equivalent discrete repetitive process according to the ILC law, and converting a controller combination problem into a linear matrix inequality based on stability analysis of the repetitive process. The method is simple and easy to implement, considers structure uncertainty of the system, and has a good control performance and robustness.

Embodiments of the application provide a train control method, system, computer device and storage medium. A scheme applying the train control method of the application determines a current travelling state of a vehicle under control firstly, and configures different state weights according to different travelling states to determine a corresponding target travelling parameter in a particular travelling state. The scheme can ensure to determine and obtain in real time an optimal target travelling parameter for the vehicle under control according to its current travelling state, regardless of the travelling environment of the vehicle under control, and control the vehicle under control in real time and effectively by the target travelling parameter during a travelling process. Thereby, the real-time performance and control accuracy of vehicle control can be improved, and the control effect of the train control method provided by the embodiments of the application can be further improved.

A system for railroad directive management is presented. The system can receive a myriad of data related to a directive, track segments, and/or vehicle events on the track and/or track segments. Vehicle- and/or event-specific data can be compared with one or more thresholds, including force thresholds, temporal thresholds, environmental thresholds, and/or event thresholds to determine whether and what kind of directive modification should be instantiated. Specialized algorithms can be implemented to trace vehicle paths along the track to determine whether directive-related segments are traversed, and specialized clustering algorithms can be utilized to cluster data unique to a particular segment on a per-segment basis. The system can be integrated with existing track infrastructure and can further generate alerts to notify coupled systems and/or personnel of directives and/or modification thereof.

The position of a rail vehicle that is parked on a track is monitored in a cold movement detection. A vehicle-side device of an automatic train safety system is deactivated when the vehicle is parked. Prior to the deactivation, a first positional value is determined by the automatic train safety system, and independently, a second positional value is determined by another localization system. With the vehicle-side device deactivated, the actual position of the vehicle is monitored by the other localization system. The additional positional values and/or a deviation of the actual position from a target position is transmitted to a track-side device of the train safety system. When the vehicle-side device is activated, the track-side device transmits the actual position of the vehicle to the vehicle-side device. If the vehicle has not moved, the automatic train guidance system can immediately assume the monitoring process starting from the first position

The invention relates to a method for determining a critical driving situation of at least one wheel of a rail vehicle, wherein a characteristic value of a fluctuation strength of a raw speed signal of at least one wheel is determined, and wherein, for the purpose of evaluating the driving situation, said characteristic value is compared with criteria which describe a critical driving situation. Upon detection of a critical driving situation, the method provides that an action is triggered in the rail vehicle, wherein the method is designed in such a way that it can be combined with or make use of a sensor system and processing devices as found in a modern rail vehicle.

A system is provided that may include a controller having one or more processors. The one or more processors may control movement of a vehicle system along a route, and determine a restriction in speed of the vehicle system at a switch point. The one or more processors may determine a direction of movement of the vehicle system based on the restriction in the speed at the switch point.

A train control system includes independent virtual in-train forces modelling 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 other locomotives and from draft gears and couplers interconnecting the locomotives with determinations made by the independent virtual in-train forces modelling 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 a command from a lead locomotive or central command.

A system and method for monitoring failure of a train within a tunnel is disclosed. The method comprises receiving, by the central server, an estimated crossing time for the train to cross the tunnel and the latest location of the train from a telemetry system onboard the train. The telemetry system comprises a Head-of-Train device communicatively coupled to an End-of-Train device. The method further comprises detecting a failure event associated with the train, by the central server, if an attempt to establish communication with the telemetry system is unsuccessful after the estimated crossing time. The method further comprises broadcasting, by the central server, an emergency alert message indicating the failure event to one or more receiving devices based on the latest location of the train. The receiving device is associated with at least one of an operator control station and an adjacent train.