Embodiments of the present disclosure provide a method and a device for cooperative control of multiple trains. The method includes: S1, establishing a train dynamic model of urban rail transit; S2, modeling a train control system of urban rail transit based on train-to-train communication; S3, constructing, according to the dynamic model and a control system model, an optimized control target which comprehensively considers distance convergence and speed convergence of train formation; and S4, cooperatively controlling, on the basis of an artificial potential field method and Kalman filtering and according to the optimized control target, the multiple trains. The present disclosure is capable of effectively shortening a train headway.

A train information announcement system of the present invention includes vehicle radio sets VRS1 and VRS2 which performs wireless communication, and is installed on a train 1 which moves on a railroad track R, wayside radio sets WRS1 to WRS5 arranged along the railroad track R, and an information providing means which provides train information announcements at a station at predetermined timing based on information about a train location obtained by the wireless communication between the vehicle radio sets VRS1 and VRS2 and the wayside radio sets WRS1 to WRS5.

This infrastructure includes a network MPLS; first and second groups of access points associated with each section of the track; first and second modems, on the train, communicating with access points of the first and second groups. The network includes pairs of local switches, each associated with a section of the track and including first and second local switches for communication with, respectively, the first and second groups of access points of the associated section, and first and second central switches, the switches being in series with one another and implementing a service for defining paths between each central switch and each local switch so the path between the first central switch and the first local switch of a pair and the path between the second central switch and the second local switch of this pair correspond to separate portions of the ring formed by the network.

A method and an apparatus for a train control system are disclosed, and are based on virtualization of train control logic and the use of cloud computing resources. A train control system is configured into two main parts. The first part includes physical elements of the train control system, and the second part includes a virtual train control system that provides the computing resources for the required train control application platforms. The disclosed architecture can be used with various train control technologies, including communications based train control, cab-signaling and fixed block, wayside signal technology. Further, the disclosure describes methodologies to convert cab-signaling and manual operations into distance to go operation.

A vehicle positioning system includes processing circuitry in communication with the vehicle. The system further includes a memory connected to the processing circuitry, where the memory is configured to store executable instructions that, when executed by the processing circuitry, facilitate performance of operations. The operations include to receive vehicle-speed data from a first set of sensors operably coupled to the vehicle. The operations further include to predict a vehicle location based on the vehicle-speed data. The operations further include to receive inertial data from a second set of sensors operably coupled to the vehicle, and update the predicted vehicle location based upon the inertial data.

The present invention relates to a train autonomous control system and method based on train-to-train communication. The control system includes an automatic train supervision system ATS, an object controller OC, a train-mounted subsystem CC, a tag reader subsystem, a query transponder, and a data communication system DCS, the automatic train supervision system ATS is connected to the train-mounted subsystem CC, and the train-mounted subsystems CC of adjacent trains are in communication connection with each other, and the control system further includes a railside resource manager WRC, and the railside resource manager WRC is respectively connected to the automatic train supervision system ATS, the train-mounted subsystem CC, the object controller OC, the tag reader subsystem, and the query transponder. Compared with the prior art, the present invention has the advantages of reducing a transmission link of data information over a network, improving operation efficiency of the system, and the like.

A train activates an emergency brake when a Station Loop Coil (SLC) used for a stop-position determination function to determine whether the train has stopped at a stop target in a terminal becomes unable to be detected (non-detected state) before the train is determined to have stopped at a stop-position by the stop-position determination function after the SLC has been detected. Thus, the train can be prevented from colliding with a car stop disposed at an end of a track as a result of overrunning. In the terminal protection, an emergency brake or a service brake is activated also when a reception duration during which the SLC continues to be detected reaches a predetermined threshold time period, or when a traveling position of the train reaches a disposed position of the SLC but the SLC is not detected.

A train control system uses machine learning for implementing handovers between centralized and distributed train control models. A machine learning engine receives training data from a data acquisition hub, receives a centralized train control model from a centralized virtual system modeling engine, and receives an edge-based train control model from an edge-based virtual system modeling engine. The machine learning engine trains a learning system using the training data to enable the machine learning engine to predict when a locomotive of the train will enter a geo-fence where communication between the edge-based computer processing system and the centralized computer processing system will be inhibited.

A system for exclusive track resource sharing is provided. Some embodiments provide an exclusive track resource sharing system including onboard control units and a resource manager. Onboard control unit is provided in each of trains and is configured to communicate with another onboard control unit in another train. The resource manager is configured to record ownership status information of track resources of the plurality of trains, to provide the ownership status information of the track resources to the onboard control unit, and to generate and deliver a resource entitlement or resource authority to the onboard control unit. The resource authority is configured to be owned by a single onboard control unit. The onboard control unit possessing the resource authority is configured to seize or release the track resources corresponding to the resource authority and to control the track resources corresponding to the resource authority.

A train operation control system and method based on train-ground coordination are provided. The system includes a dispatching center server, a resource management unit (RMU) for ground train control equipment, and on-board train control equipment (CC), wherein the dispatching center server is connected via communication to the on-board CC, and the on-board CC is connected via communication to the RMU for the ground train control equipment; and the RMU for the ground train control equipment and the on-board CC coordinatively complete resource management and implement train operation control, wherein the resource management is divided into two levels, at a first level, the RMU is responsible for performing the resource management in the unit of section, and at a second level, a preceding train and a succeeding train interact with each other via direct train-to-train communication, such that finer resource sharing in a section is achieved between the trains.